avg_spikes_ext_inh
Создана модель случайной спайковой сети, в основу которой легла модель случайной кластерной сети (SBM), вершинами в которой выступали leaky integrate-and-fire (LIF) нейроны.
Был проведён ряд следующих экспериментов: для каждого из сочетаний напряжения (100мВ, 200мВ, 300мВ), частоты (10 Гц, 20 Гц) и наличия или отсутствия в сети обучения stdp+ и stdp-, а также вероятностей p_in (0.1, ..., 1) и p_out (0.1, ..., 1) был выполнен модельный эксперимент на случайной спайковой сети и проанализирована её динамика. Так как стимул подавался всегда только на один из двух кластеров сети, оценка коллективной динамики и подсчет статистик производился на нейронах второго кластера.
Вывод 1
При напряжении 100 мВ и частоте 10 Гц был обнаружен критический фазовый переход на p_out = 0.6, при и напряжении 200 мВ и частоте 20 Гц был обнаружен предельный переход на p_out = 0.55, скачком переводящий частоту образования спайков на втором кластере с 0 до 10 Гц. Зависимость среднего числа спайков второго кластера от p_out описывается сигмоидой.
Вывод 2
Наличие stdp в сети снижает требования на общую связность: для стабильной передачи активности на второй кластер пороговое значение p_out уменьшается с 0.55 до 0.2. Зависимость среднего числа спайков второго кластера от p_out при наличии обучения в сети описывается сдвинутой влево сигмоидой.
Добавление правил обучения в спайковую случайную сеть приводит к образованию хабов во втором кластере, число который со временем постепенно увеличивается.
Вывод 3
В сети на возбуждающих и тормозных нейронах в соотношении 50/50 наблюдается отсутствие предельного перехода, частота спайков на втором кластере плавно увеличивается по мере роста связности сети, зависимость среднего числа спайков второго кластера от p_out описывается линейной зависимостью.
In [3]:
from brian2 import *
import matplotlib.pyplot as plt
import numpy as np
from tqdm import tqdm
import random
import imageio
import io
import os
# Установка параметров вывода NumPy для отображения всех элементов массивов
np.set_printoptions(threshold=np.inf)
directory_path = 'results_ext_inh'
if os.path.exists(directory_path):
print(f"Директория '{directory_path}' существует")
else:
os.mkdir(directory_path)
print(f"Директория '{directory_path}' создана")
# Определение границ кластеров на основе размеров кластеров
def fram(cluster_sizes):
frames = np.zeros(len(cluster_sizes))
frames[0] = cluster_sizes[0]
for i in range(1, len(cluster_sizes)):
frames[i] = frames[i - 1] + cluster_sizes[i]
return frames
# Проверка принадлежности узла к определенному кластеру
def clcheck(a, cluster_sizes):
frames = fram(cluster_sizes)
if a >= 0 and a < frames[0]:
return 0
else:
for i in range(len(frames) - 1):
if a >= frames[i] and a < frames[i + 1]:
return i + 1
return len(frames) - 1
# Генерация начальной матрицы связности SBM для внутрикластерных связей
def gensbm2(number_of_nodes, cluster_labels, p_within, cluster_sizes, directed):
sbm = np.zeros((number_of_nodes, number_of_nodes))
for i in range(number_of_nodes):
for j in range(number_of_nodes):
if i != j:
if cluster_labels[i] == cluster_labels[j]: # Проверка, находятся ли оба узла в одном кластере
if directed:
sbm[i, j] = np.random.choice([0, 1], p=[1 - p_within, p_within])
else:
edge_exists = np.random.choice([0, 1], p=[1 - p_within, p_within])
sbm[i, j] = sbm[j, i] = edge_exists
return sbm
# Генерация начальных межкластерных связей
def generate_constant_inter_cluster(number_of_nodes, cluster_labels, p_between, directed):
sbm = np.zeros((number_of_nodes, number_of_nodes))
for i in range(number_of_nodes):
for j in range(number_of_nodes):
if i != j and cluster_labels[i] != cluster_labels[j]: # Связи между разными кластерами
if directed:
sbm[i, j] = np.random.choice([0, 1], p=[1 - p_between, p_between])
else:
edge_exists = np.random.choice([0, 1], p=[1 - p_between, p_between])
sbm[i, j] = sbm[j, i] = edge_exists
return sbm
# Функция для обновления внутрикластерных связей
def update_intra_cluster_connectivity(C_intra, cluster_labels, p_within):
num_of_clusters = len(np.unique(cluster_labels))
for cluster_idx in range(num_of_clusters):
cluster_indices = np.where(np.array(cluster_labels) == cluster_idx)[0]
total_possible_connections = len(cluster_indices) * (len(cluster_indices) - 1) // 2
current_connections = np.sum(np.triu(C_intra[np.ix_(cluster_indices, cluster_indices)], k=1))
desired_connections = int(p_within * total_possible_connections)
connections_to_add = desired_connections - int(current_connections)
if connections_to_add > 0:
possible_pairs = [(i, j) for idx_i, i in enumerate(cluster_indices)
for j in cluster_indices[idx_i+1:] if C_intra[i, j] == 0]
if len(possible_pairs) == 0:
continue
num_new_connections = min(connections_to_add, len(possible_pairs))
new_connections = random.sample(possible_pairs, num_new_connections)
for i, j in new_connections:
C_intra[i, j] = 1
C_intra[j, i] = 1
return C_intra
# Функция для обновления межкластерных связей
def update_inter_cluster_connectivity(C_between, cluster_labels, p_between):
clusters = np.unique(cluster_labels)
num_clusters = len(clusters)
for idx_a in range(num_clusters):
for idx_b in range(idx_a + 1, num_clusters):
cluster_a_indices = np.where(np.array(cluster_labels) == clusters[idx_a])[0]
cluster_b_indices = np.where(np.array(cluster_labels) == clusters[idx_b])[0]
total_possible_connections = len(cluster_a_indices) * len(cluster_b_indices)
current_connections = np.sum(C_between[np.ix_(cluster_a_indices, cluster_b_indices)])
desired_connections = int(p_between * total_possible_connections)
connections_to_add = desired_connections - int(current_connections)
if connections_to_add > 0:
possible_pairs = [(i, j) for i in cluster_a_indices
for j in cluster_b_indices if C_between[i, j] == 0]
if len(possible_pairs) == 0:
continue
num_new_connections = min(connections_to_add, len(possible_pairs))
new_connections = random.sample(possible_pairs, num_new_connections)
for i, j in new_connections:
C_between[i, j] = 1
C_between[j, i] = 1
return C_between
# Основная функция симуляции нейронной сети
def sim(p_within, p_between, g, nu_ext_over_nu_thr, J, sim_time, plotting_flags,
rate_tick_step, t_range, rate_range, cluster_labels, cluster_sizes, V0_value,
oscillation_frequency, use_stdp, time_window_size, C_total_prev=None,
p_within_prev=None, p_between_prev=None):
start_scope()
n_neurons = len(cluster_labels)
if C_total_prev is None:
C_intra = gensbm2(n_neurons, cluster_labels, 0.01, cluster_sizes, directed=False)
C_between = generate_constant_inter_cluster(n_neurons, cluster_labels, 0.01, directed=False)
else:
C_intra = C_total_prev.copy()
C_between = C_total_prev.copy()
C_intra = update_intra_cluster_connectivity(C_intra, cluster_labels, p_within)
C_between = update_inter_cluster_connectivity(C_between, cluster_labels, p_between)
C_total = np.maximum(C_intra, C_between)
N = len(C_total)
N_E = N / 2
tau = 20 * ms
v_threshold = -50 * mV
v_reset = -70*mV
v_rest = -65*mV
J = J * mV
D = 1.5 * ms
# C_E = p_within * N_E
# C_ext = int(C_E)
# v_diff = v_threshold - v_rest
# nu_thr = v_diff / (J * C_E * tau)
defaultclock.dt = 0.1 * ms
neurons = NeuronGroup(
N,
'''
dv/dt = (v_rest-v+v_ext)/tau : volt
v_ext = v0 * sin(2 * pi * f * t + phi) : volt
v0 : volt
f : Hz
phi : 1
''',
threshold="v > v_threshold",
reset="v = v_reset",
method="euler",
)
neurons.f = 0 * Hz
neurons.v0 = 0 * volt
neurons.phi = 0
neurons.f[0:50] = oscillation_frequency * Hz
neurons.v0[0:50] = V0_value * mV
neurons.phi[0:50] = 0
if use_stdp:
tau_stdp = 20 * ms
Aplus = 0.005
Aminus = 0.005
stdp_eqs = '''
dApre/dt = -Apre / tau_stdp : 1 (event-driven)
dApost/dt = -Apost / tau_stdp : 1 (event-driven)
w : 1
'''
############# Возбуждающие и тормозные
exc_synapses = Synapses(neurons, neurons,
model=stdp_eqs,
on_pre="""
v_post += J * w
Apre += Aplus
w = clip(w + Apost, 0, 1)
""",
on_post="""
Apost += Aminus
w = clip(w + Apre, 0, 1)
""",
delay=D)
inhib_synapses = Synapses(neurons, neurons,
model="w : 1",
on_pre="v_post += -g * J * w",
delay=D)
else:
exc_synapses = Synapses(neurons, neurons,
model="w : 1",
on_pre="v_post += J * w",
delay=D)
inhib_synapses = Synapses(neurons, neurons,
model="w : 1",
on_pre="v_post += -g * J * w",
delay=D)
exc_synapses.connect(condition='i != j and i < N_E')
inhib_synapses.connect(condition='i != j and i >= N_E')
sources, targets = C_total.nonzero()
exc_synapses.w[:, :] = 0 # Обнуляем все веса
inhib_synapses.w[:, :] = 0 # Обнуляем все веса
# Устанавливаем веса в соответствии с начальной матрицей связности
for idx in range(len(sources)):
i = sources[idx]
j = targets[idx]
if i < N_E:
# Возбуждающий синапс
syn_idx = np.where((exc_synapses.i == i) & (exc_synapses.j == j))[0]
if len(syn_idx) > 0:
exc_synapses.w[syn_idx[0]] = 1
else:
# Тормозный синапс
syn_idx = np.where((inhib_synapses.i == i) & (inhib_synapses.j == j))[0]
if len(syn_idx) > 0:
inhib_synapses.w[syn_idx[0]] = 1
# nu_ext_group1 = nu_ext_over_nu_thr * nu_thr
# external_poisson_input_1 = PoissonInput(
# target=neurons,
# target_var="I_ext",
# N=C_ext,
# rate=nu_ext_group1,
# weight=J
# )
spike_monitor = SpikeMonitor(neurons[:100])
rate_monitor = None
if plotting_flags.get('rates', False) or plotting_flags.get('psd', False) or plotting_flags.get('spectrogram', False):
rate_monitor = PopulationRateMonitor(neurons[:50])
rate_monitor2 = None
if plotting_flags.get('rates2', False) or plotting_flags.get('psd2', False) or plotting_flags.get('spectrogram', False):
rate_monitor2 = PopulationRateMonitor(neurons[50:])
trace = None
if plotting_flags.get('trace', False):
trace = StateMonitor(neurons, 'v', record=True)
run(sim_time)
spike_times = spike_monitor.t / ms
spike_indices = spike_monitor.i
bin_size = time_window_size
max_time = int(np.max(spike_times)) + bin_size
bins = np.arange(0, max_time, bin_size)
avg_neuron_spikes_cluster2_list = []
spike_times_list = []
spike_indices_list = []
if plotting_flags.get('spikes', False):
spike_times_list = []
spike_indices_list = []
start_cluster_neuron = 50
end_cluster_neuron = 100
neuron_spike_counts_per_window = {neuron: [] for neuron in range(start_cluster_neuron, end_cluster_neuron)}
for i in range(len(bins) - 1):
start_time = bins[i]
end_time = bins[i + 1]
selected_neurons_mask = (
(spike_indices >= start_cluster_neuron) &
(spike_indices < end_cluster_neuron) &
(spike_times > start_time) &
(spike_times < end_time)
)
filtered_spike_times = spike_times[selected_neurons_mask]
filtered_spike_indices = spike_indices[selected_neurons_mask]
group2_spikes = len(filtered_spike_indices)
avg_neuron_spikes_cluster2 = group2_spikes / (end_cluster_neuron-start_cluster_neuron)
avg_neuron_spikes_cluster2_list.append(avg_neuron_spikes_cluster2)
if plotting_flags.get('spikes', False):
spike_times_list.extend(spike_times)
spike_indices_list.extend(spike_indices)
for neuron in neuron_spike_counts_per_window.keys():
neuron_spike_counts = np.sum(filtered_spike_indices == neuron)
neuron_spike_counts_per_window[neuron].append(neuron_spike_counts)
# avg_neuron_spikes_cluster2_list = avg_neuron_spikes_cluster2_list[1:]
time_window_centers = (bins[:-1] + bins[1:]) / 2
if plotting_flags.get('spikes', False):
spike_times_array = np.array(spike_times_list)
spike_indices_array = np.array(spike_indices_list)
if plotting_flags.get('spikes', False):
ax_spikes = plotting_flags['ax_spikes']
ax_spikes.scatter(spike_times_array, spike_indices_array, marker='|')
step_size = 100
total_time_ms = sim_time / ms
time_steps = np.arange(0, total_time_ms + step_size, step_size)
for t in time_steps:
ax_spikes.axvline(x=t, color='grey', linestyle='--', linewidth=0.5)
ax_spikes.set_xlim(t_range)
ax_spikes.set_xlabel("t [ms]")
ax_spikes.set_ylabel("Neuron index")
ax_spikes.set_title(f"Spike Raster Plot\nFrequency={oscillation_frequency} Hz, STDP={'On' if use_stdp else 'Off'}, Window={time_window_size} ms", fontsize=16)
if plotting_flags.get('rates', False):
ax_rates = plotting_flags['ax_rates']
ax_rates.set_title(f'Spike Rate neu.0-50\nFrequency={oscillation_frequency} Hz, STDP={"On" if use_stdp else "Off"}', fontsize=16)
ax_rates.plot(rate_monitor.t / ms, rate_monitor.rate / Hz, label='Group 1 (0-50)')
ax_rates.set_xlim(t_range)
ax_rates.set_xlabel("t [ms]")
ax_rates.set_yticks(
np.arange(
rate_range[0], rate_range[1] + rate_tick_step, rate_tick_step
)
)
if plotting_flags.get('rates2', False):
ax_rates2 = plotting_flags['ax_rates2']
ax_rates2.set_title(f'Spike Rate neu.50-100\nFrequency={oscillation_frequency} Hz, STDP={"On" if use_stdp else "Off"}', fontsize=16)
ax_rates2.plot(rate_monitor2.t / ms, rate_monitor2.rate / Hz, label='Group 2 (50-100)')
ax_rates2.set_xlim(t_range)
ax_rates2.set_xlabel("t [ms]")
if plotting_flags.get('trace', False):
ax_trace = plotting_flags['ax_trace']
time_points_trace = trace.t / ms
offset = 10
for neuron_index in range(0, 1, 1):
ax_trace.plot(time_points_trace, trace.v[neuron_index] / mV + neuron_index * offset, label=f'Neuron {neuron_index}')
ax_trace.set_xlabel("t [ms]")
ax_trace.set_ylabel("Membrane potential [mV] + offset")
ax_trace.legend(loc='upper right', ncol=2, fontsize='small')
ax_trace.set_title(f'Membrane Potentials\nFrequency={oscillation_frequency} Hz, STDP={"On" if use_stdp else "Off"}', fontsize=16)
if plotting_flags.get('psd', False):
ax_psd = plotting_flags['ax_psd']
rate = rate_monitor.rate / Hz - np.mean(rate_monitor.rate / Hz)
from numpy.fft import rfft, rfftfreq
N = len(rate_monitor.t)
sampling_rate = 10000
max_point = int(N * 300 / sampling_rate)
x = rfftfreq(N, d=1 / sampling_rate)
x = x[:max_point]
yn = 2 * np.abs(rfft(rate)) / N
yn = yn[:max_point]
ax_psd.set_title(f"PSD neu.0-50\nFrequency={oscillation_frequency} Hz, STDP={'On' if use_stdp else 'Off'}", fontsize=16)
ax_psd.plot(x, yn, c='k', label='Function')
if plotting_flags.get('psd2', False):
ax_psd2 = plotting_flags['ax_psd2']
rate = rate_monitor2.rate / Hz - np.mean(rate_monitor2.rate / Hz)
N = len(rate_monitor2.t)
sampling_rate = 10000
max_point = int(N * 300 / sampling_rate)
x = rfftfreq(N, d=1 / sampling_rate)
x = x[:max_point]
yn = 2 * np.abs(rfft(rate)) / N
yn = yn[:max_point]
ax_psd2.set_title(f"PSD neu.50-100\nFrequency={oscillation_frequency} Hz, STDP={'On' if use_stdp else 'Off'}", fontsize=16)
ax_psd2.plot(x, yn, c='k', label='Function')
if plotting_flags.get('spectrogram', False):
ax_spectrogram = plotting_flags['ax_spectrogram']
yf = rfft(rate_monitor.rate / Hz)
N_freq = len(yf)
xf = rfftfreq(len(rate_monitor.t), 1 / 10000)[:N_freq]
ax_spectrogram.plot(xf, np.abs(yf), label='0-50 neurons')
yf2 = rfft(rate_monitor2.rate / Hz)
N_freq2 = len(yf2)
xf2 = rfftfreq(len(rate_monitor2.t), 1 / 10000)[:N_freq2]
ax_spectrogram.plot(xf2, np.abs(yf2), label='50-100 neurons')
ax_spectrogram.set_xlim(0, 1000)
ax_spectrogram.legend()
ax_spectrogram.set_title(f'Global Frequencies\nFrequency={oscillation_frequency} Hz, STDP={"On" if use_stdp else "Off"}', fontsize=16)
if plotting_flags.get('connectivity2', False):
connectivity2 = plotting_flags['connectivity2']
W = np.zeros((n_neurons, n_neurons))
W[exc_synapses.i[:], exc_synapses.j[:]] = exc_synapses.w[:]
W[inhib_synapses.i[:], inhib_synapses.j[:]] = inhib_synapses.w[:]
connectivity2.set_title(f'Weight Matrix\nSTDP={"On" if use_stdp else "Off"}', fontsize=16)
connectivity2.matshow(W, cmap='viridis')
return avg_neuron_spikes_cluster2_list, time_window_centers, C_total, spike_indices
# Инициализация параметров сети
n_neurons = 100
num_of_clusters = 2
cluster_sizes = [50, 50]
p_within_values = np.arange(0.1, 1.01, 0.1)
num_tests = 1
J = 0.1
g = 6
# Будем менять время симуляций в цикле ниже
epsilon = 0.1
nu_ext_over_nu_thr = 4
D = 1.5 * ms
rate_tick_step = 50
t_range = [0, 1000]
rate_range = [0, 200]
oscillation_frequencies = [10, 20]
use_stdp_values = [False, True]
V0_values = np.arange(100, 310, 100)
time_window_size = 1000 # in ms
plot_spikes = True
plot_avg_spikes = False
plot_rates = False
plot_rates2 = False
plot_connectivity2 = True
plot_trace = True
plot_psd = False
plot_psd2 = False
plot_spectrogram = False
cluster_labels = []
for i in range(n_neurons):
cluster_labels.append(clcheck(i, cluster_sizes))
# Добавим цикл по различным временам моделирования
simulation_times = [1000] # в миллисекундах
for current_time in simulation_times:
sim_time = current_time * ms
t_range = [0, current_time] # Обновляем диапазон отрисовки графиков по времени
spike_counts_second_cluster = {}
for oscillation_frequency in oscillation_frequencies:
for V0_value in V0_values:
for use_stdp in use_stdp_values:
print(f"Running simulations for V0 = {V0_value} mV, Frequency = {oscillation_frequency} Hz, STDP = {'On' if use_stdp else 'Off'}, Time={current_time} ms")
spike_counts_second_cluster[V0_value] = {p_within: {} for p_within in p_within_values}
for p_within_idx, p_within in enumerate(p_within_values):
images = []
p_between_values = np.arange(0.05, p_within - 0.04, 0.1)
# p_between_values = np.arange(0.55, p_within - 0.04, 0.1)
C_total_prev = None
p_within_prev = None
p_between_prev = None
for p_between in p_between_values:
avg_window_avg_neuron_spikes_cluster2_tests = []
if any([plot_spikes, plot_avg_spikes, plot_rates, plot_rates2, plot_connectivity2, plot_trace, plot_psd, plot_psd2, plot_spectrogram]):
fig = plt.figure(figsize=(12, 10))
fig.suptitle(f'V0={V0_value} мВ, p_within={round(p_within, 2)}, p_between={round(p_between, 2)}, g={g}, epsilon={epsilon}, nu_ext_over_nu_thr={nu_ext_over_nu_thr}, D={D}, Time={current_time} ms')
gs = fig.add_gridspec(ncols=4, nrows=3)
else:
fig = None
plotting_flags = {
'spikes': plot_spikes,
'avg_spikes': plot_avg_spikes,
'rates': plot_rates,
'rates2': plot_rates2,
'connectivity2': plot_connectivity2,
'trace': plot_trace,
'psd': plot_psd,
'psd2': plot_psd2,
'spectrogram': plot_spectrogram,
}
if plot_spikes:
plotting_flags['ax_spikes'] = fig.add_subplot(gs[0, :])
if plot_avg_spikes:
plotting_flags['ax_avg_spikes'] = fig.add_subplot(gs[1, 0])
if plot_rates:
plotting_flags['ax_rates'] = fig.add_subplot(gs[1, 1])
if plot_rates2:
plotting_flags['ax_rates2'] = fig.add_subplot(gs[1, 2])
if plot_connectivity2:
plotting_flags['connectivity2'] = fig.add_subplot(gs[1, 3])
if plot_trace:
plotting_flags['ax_trace'] = fig.add_subplot(gs[2, 0])
if plot_psd:
plotting_flags['ax_psd'] = fig.add_subplot(gs[2, 1])
if plot_psd2:
plotting_flags['ax_psd2'] = fig.add_subplot(gs[2, 2])
if plot_spectrogram:
plotting_flags['ax_spectrogram'] = fig.add_subplot(gs[2, 3])
for test_num in range(num_tests):
print(f'V0={V0_value} мВ, p_within={round(p_within, 2)}, p_between={round(p_between, 2)}, тест={test_num + 1}, Time={current_time} ms')
if test_num > 0 and fig is not None:
if plot_spikes:
plotting_flags['ax_spikes'].clear()
if plot_rates:
plotting_flags['ax_rates'].clear()
if plot_rates2:
plotting_flags['ax_rates2'].clear()
if plot_trace:
plotting_flags['ax_trace'].clear()
if plot_psd:
plotting_flags['ax_psd'].clear()
if plot_psd2:
plotting_flags['ax_psd2'].clear()
if plot_spectrogram:
plotting_flags['ax_spectrogram'].clear()
avg_neuron_spikes_cluster2_list, time_window_centers, C_total, spike_indices = sim(
round(p_within, 2), round(p_between, 2), g, nu_ext_over_nu_thr, J, sim_time,
plotting_flags, rate_tick_step, t_range, rate_range, cluster_labels, cluster_sizes, V0_value,
oscillation_frequency, use_stdp, time_window_size,
C_total_prev, p_within_prev, p_between_prev
)
avg_window_avg_neuron_spikes_cluster2_list = np.mean(avg_neuron_spikes_cluster2_list)
avg_window_avg_neuron_spikes_cluster2_tests.append(avg_window_avg_neuron_spikes_cluster2_list)
C_total_prev = C_total.copy()
p_within_prev = p_within
p_between_prev = p_between
cluster_indices_1 = np.where(np.array(cluster_labels) == 0)[0]
total_possible_connections_1 = len(cluster_indices_1) * (len(cluster_indices_1) - 1) // 2
actual_connections_1 = np.sum(np.triu(C_total[np.ix_(cluster_indices_1, cluster_indices_1)], k=1))
mean_connectivity_within_cluster1 = actual_connections_1 / total_possible_connections_1
# print(f"Средняя связность внутри первого кластера (0-50): {round(mean_connectivity_within_cluster1, 2)}")
cluster_indices_2 = np.where(np.array(cluster_labels) == 1)[0]
total_possible_connections_between = len(cluster_indices_1) * len(cluster_indices_2)
actual_connections_between = np.sum(C_total[np.ix_(cluster_indices_1, cluster_indices_2)])
mean_connectivity_between_clusters = actual_connections_between / total_possible_connections_between
# print(f"Средняя связность между кластерами: {round(mean_connectivity_between_clusters, 2)}")
avg_window_avg_neuron_spikes_cluster2_tests = np.array(avg_window_avg_neuron_spikes_cluster2_tests)
if p_between not in spike_counts_second_cluster[V0_value][p_within]:
spike_counts_second_cluster[V0_value][p_within][p_between] = []
spike_counts_second_cluster[V0_value][p_within][p_between].append(avg_window_avg_neuron_spikes_cluster2_tests)
if fig is not None:
buf = io.BytesIO()
plt.savefig(buf, format='png')
buf.seek(0)
images.append(imageio.imread(buf))
plt.close(fig)
if images:
imageio.mimsave(f'results_ext_inh/gif_exc_inh_V0_{V0_value}freq_{oscillation_frequency}_STDP_{"On" if use_stdp else "Off"}_p_within_{p_within:.2f}_Time_{current_time}ms.gif', images, duration=3000, loop=0)
print(f"Симуляции для V0 = {V0_value} мВ, Time={current_time} ms завершены.")
# Построение графика зависимости среднего числа спайков во втором кластере
fig_spike_dependency, ax_spike_dep = plt.subplots(figsize=(10, 6))
for p_within in p_within_values:
p_between_list = sorted(spike_counts_second_cluster[V0_value][p_within].keys())
avg_spike_counts = []
std_spike_counts = []
for p_between in p_between_list:
spike_counts = spike_counts_second_cluster[V0_value][p_within][p_between]
print('spike counts', spike_counts)
avg_spike = np.mean(spike_counts)
std_spike = np.std(spike_counts)
avg_spike_counts.append(avg_spike)
std_spike_counts.append(std_spike)
ax_spike_dep.errorbar(p_between_list, avg_spike_counts, yerr=std_spike_counts, marker='o', label=f'p_within={p_within:.1f}')
ax_spike_dep.set_xlabel('p_between', fontsize=14)
ax_spike_dep.set_ylabel('Среднее число спайков во втором кластере', fontsize=14)
ax_spike_dep.set_title(f'Зависимость среднего числа спайков во втором кластере от p_within и p_between\nV0_{V0_value}mV_freq_{oscillation_frequency}Hz_STDP_{"On" if use_stdp else "Off"}_Time_{current_time}ms', fontsize=16)
ax_spike_dep.legend(title='p_within', bbox_to_anchor=(1.05, 1), loc='upper left', fontsize=12, title_fontsize=12)
ax_spike_dep.tick_params(axis='both', which='major', labelsize=12)
plt.tight_layout()
plt.savefig(f'results_ext_inh/average_spike_dependency_ext_inh_V0_{V0_value}mV_freq_{oscillation_frequency}Hz_STDP_{"On" if use_stdp else "Off"}_Time_{current_time}ms.png')
plt.show()
print("Генерация графиков завершена.")
WARNING The object 'neurongroup_1' is getting deleted, but was never included in a network. This probably means that you did not store the object reference in a variable, or that the variable was not used to construct the network.
The object was created here (most recent call only):
File '/tmp/ipykernel_86274/541454390.py', line 147, in sim
neurons = NeuronGroup( [brian2.core.base.unused_brian_object]
WARNING The object 'synapses' is getting deleted, but was never included in a network. This probably means that you did not store the object reference in a variable, or that the variable was not used to construct the network.
The object was created here (most recent call only):
File '/tmp/ipykernel_86274/541454390.py', line 197, in sim
exc_synapses = Synapses(neurons, neurons, [brian2.core.base.unused_brian_object]
WARNING The object 'synapses_1' is getting deleted, but was never included in a network. This probably means that you did not store the object reference in a variable, or that the variable was not used to construct the network.
The object was created here (most recent call only):
File '/tmp/ipykernel_86274/541454390.py', line 201, in sim
inhib_synapses = Synapses(neurons, neurons, [brian2.core.base.unused_brian_object]
Директория 'results_ext_inh' существует Running simulations for V0 = 100 mV, Frequency = 10 Hz, STDP = Off, Time=1000 ms V0=100 мВ, p_within=0.1, p_between=0.05, тест=1, Time=1000 ms
WARNING /tmp/ipykernel_86274/4166601784.py:558: DeprecationWarning: Starting with ImageIO v3 the behavior of this function will switch to that of iio.v3.imread. To keep the current behavior (and make this warning disappear) use `import imageio.v2 as imageio` or call `imageio.v2.imread` directly. images.append(imageio.imread(buf)) [py.warnings]
V0=100 мВ, p_within=0.2, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.2, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.3, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.3, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.3, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.75, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.75, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.85, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.75, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.85, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.95, тест=1, Time=1000 ms Симуляции для V0 = 100 мВ, Time=1000 ms завершены. spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.44])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.18])] spike counts [array([0.54])] spike counts [array([5.26])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.54])] spike counts [array([1.62])] spike counts [array([6.26])] spike counts [array([5.32])]
Running simulations for V0 = 100 mV, Frequency = 10 Hz, STDP = On, Time=1000 ms V0=100 мВ, p_within=0.1, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.2, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.2, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.3, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.3, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.3, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.75, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.75, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.85, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.75, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.85, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.95, тест=1, Time=1000 ms Симуляции для V0 = 100 мВ, Time=1000 ms завершены. spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.5])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.34])] spike counts [array([1.26])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.54])] spike counts [array([0.9])] spike counts [array([6.44])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.48])] spike counts [array([1.62])] spike counts [array([7.58])] spike counts [array([5.68])]
Running simulations for V0 = 200 mV, Frequency = 10 Hz, STDP = Off, Time=1000 ms V0=200 мВ, p_within=0.1, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.2, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.2, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.3, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.3, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.3, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.75, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.75, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.85, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.75, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.85, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.95, тест=1, Time=1000 ms Симуляции для V0 = 200 мВ, Time=1000 ms завершены. spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.58])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.38])] spike counts [array([2.08])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.72])] spike counts [array([2.14])] spike counts [array([3.86])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.36])] spike counts [array([2.02])] spike counts [array([3.86])] spike counts [array([5.6])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.78])] spike counts [array([2.52])] spike counts [array([3.86])] spike counts [array([5.6])] spike counts [array([7.48])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.38])] spike counts [array([0.78])] spike counts [array([2.68])] spike counts [array([3.8])] spike counts [array([5.48])] spike counts [array([7.7])] spike counts [array([9.38])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.92])] spike counts [array([2.46])] spike counts [array([4.66])] spike counts [array([6.94])] spike counts [array([8.38])] spike counts [array([9.2])] spike counts [array([12.7])]
Running simulations for V0 = 200 mV, Frequency = 10 Hz, STDP = On, Time=1000 ms V0=200 мВ, p_within=0.1, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.2, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.2, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.3, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.3, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.3, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.75, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.75, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.85, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.75, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.85, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.95, тест=1, Time=1000 ms Симуляции для V0 = 200 мВ, Time=1000 ms завершены. spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.46])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.7])] spike counts [array([2.72])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.52])] spike counts [array([2.72])] spike counts [array([5.02])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.7])] spike counts [array([2.64])] spike counts [array([4.7])] spike counts [array([6.86])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.72])] spike counts [array([2.1])] spike counts [array([4.14])] spike counts [array([6.18])] spike counts [array([8.14])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.22])] spike counts [array([2.04])] spike counts [array([4.26])] spike counts [array([5.7])] spike counts [array([7.34])] spike counts [array([9.06])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.52])] spike counts [array([1.94])] spike counts [array([3.72])] spike counts [array([5.44])] spike counts [array([7.76])] spike counts [array([8.68])] spike counts [array([10.84])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.72])] spike counts [array([1.9])] spike counts [array([3.82])] spike counts [array([5.66])] spike counts [array([7.42])] spike counts [array([8.62])] spike counts [array([9.94])] spike counts [array([15.3])]
Running simulations for V0 = 300 mV, Frequency = 10 Hz, STDP = Off, Time=1000 ms V0=300 мВ, p_within=0.1, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.2, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.2, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.3, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.3, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.3, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.75, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.75, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.85, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.75, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.85, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.95, тест=1, Time=1000 ms Симуляции для V0 = 300 мВ, Time=1000 ms завершены. spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.])] spike counts [array([3.6])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.])] spike counts [array([4.])] spike counts [array([6.78])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.56])] spike counts [array([3.5])] spike counts [array([6.04])] spike counts [array([9.38])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.52])] spike counts [array([3.48])] spike counts [array([6.56])] spike counts [array([9.66])] spike counts [array([11.24])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.76])] spike counts [array([2.98])] spike counts [array([6.04])] spike counts [array([8.58])] spike counts [array([11.14])] spike counts [array([13.24])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.14])] spike counts [array([3.54])] spike counts [array([5.94])] spike counts [array([8.68])] spike counts [array([10.8])] spike counts [array([13.24])] spike counts [array([15.42])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.54])] spike counts [array([4.06])] spike counts [array([6.1])] spike counts [array([9.02])] spike counts [array([10.68])] spike counts [array([13.5])] spike counts [array([15.6])] spike counts [array([19.28])]
Running simulations for V0 = 300 mV, Frequency = 10 Hz, STDP = On, Time=1000 ms V0=300 мВ, p_within=0.1, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.2, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.2, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.3, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.3, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.3, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.75, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.75, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.85, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.75, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.85, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.95, тест=1, Time=1000 ms Симуляции для V0 = 300 мВ, Time=1000 ms завершены. spike counts [array([0.])] spike counts [array([0.])] spike counts [array([2.04])] spike counts [array([0.])] spike counts [array([2.28])] spike counts [array([9.44])] spike counts [array([0.])] spike counts [array([2.26])] spike counts [array([8.32])] spike counts [array([12.66])] spike counts [array([0.])] spike counts [array([2.2])] spike counts [array([7.12])] spike counts [array([12.26])] spike counts [array([15.42])] spike counts [array([0.])] spike counts [array([1.4])] spike counts [array([5.98])] spike counts [array([10.64])] spike counts [array([13.76])] spike counts [array([16.14])] spike counts [array([0.])] spike counts [array([0.88])] spike counts [array([5.86])] spike counts [array([10.8])] spike counts [array([13.24])] spike counts [array([15.12])] spike counts [array([17.06])] spike counts [array([0.])] spike counts [array([1.06])] spike counts [array([5.06])] spike counts [array([8.78])] spike counts [array([11.82])] spike counts [array([14.28])] spike counts [array([16.02])] spike counts [array([17.42])] spike counts [array([0.])] spike counts [array([1.5])] spike counts [array([5.68])] spike counts [array([8.06])] spike counts [array([10.7])] spike counts [array([13.16])] spike counts [array([15.24])] spike counts [array([16.44])] spike counts [array([18.32])] spike counts [array([0.])] spike counts [array([0.88])] spike counts [array([5.46])] spike counts [array([8.6])] spike counts [array([11.16])] spike counts [array([12.86])] spike counts [array([15.06])] spike counts [array([16.86])] spike counts [array([18.98])] spike counts [array([20.])]
Running simulations for V0 = 100 mV, Frequency = 20 Hz, STDP = Off, Time=1000 ms V0=100 мВ, p_within=0.1, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.2, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.2, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.3, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.3, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.3, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.75, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.75, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.85, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.75, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.85, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.95, тест=1, Time=1000 ms Симуляции для V0 = 100 мВ, Time=1000 ms завершены. spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])]
Running simulations for V0 = 100 mV, Frequency = 20 Hz, STDP = On, Time=1000 ms V0=100 мВ, p_within=0.1, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.2, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.2, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.3, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.3, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.3, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.4, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.5, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.6, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.7, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=0.8, p_between=0.75, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.75, тест=1, Time=1000 ms V0=100 мВ, p_within=0.9, p_between=0.85, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.05, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.15, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.25, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.35, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.45, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.55, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.65, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.75, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.85, тест=1, Time=1000 ms V0=100 мВ, p_within=1.0, p_between=0.95, тест=1, Time=1000 ms Симуляции для V0 = 100 мВ, Time=1000 ms завершены. spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])]
Running simulations for V0 = 200 mV, Frequency = 20 Hz, STDP = Off, Time=1000 ms V0=200 мВ, p_within=0.1, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.2, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.2, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.3, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.3, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.3, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.75, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.75, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.85, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.75, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.85, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.95, тест=1, Time=1000 ms Симуляции для V0 = 200 мВ, Time=1000 ms завершены. spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.2])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.82])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.18])] spike counts [array([3.52])] spike counts [array([4.76])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.36])] spike counts [array([2.9])] spike counts [array([3.86])] spike counts [array([10.3])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.38])] spike counts [array([0.56])] spike counts [array([2.62])] spike counts [array([5.24])] spike counts [array([10.88])] spike counts [array([12.6])]
Running simulations for V0 = 200 mV, Frequency = 20 Hz, STDP = On, Time=1000 ms V0=200 мВ, p_within=0.1, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.2, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.2, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.3, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.3, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.3, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.4, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.5, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.6, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.7, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=0.8, p_between=0.75, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.75, тест=1, Time=1000 ms V0=200 мВ, p_within=0.9, p_between=0.85, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.05, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.15, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.25, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.35, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.45, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.55, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.65, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.75, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.85, тест=1, Time=1000 ms V0=200 мВ, p_within=1.0, p_between=0.95, тест=1, Time=1000 ms Симуляции для V0 = 200 мВ, Time=1000 ms завершены. spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.54])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.6])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.24])] spike counts [array([5.3])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.5])] spike counts [array([4.26])] spike counts [array([10.7])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.68])] spike counts [array([4.74])] spike counts [array([4.32])] spike counts [array([14.78])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.76])] spike counts [array([5.18])] spike counts [array([4.52])] spike counts [array([15.24])] spike counts [array([15.84])]
Running simulations for V0 = 300 mV, Frequency = 20 Hz, STDP = Off, Time=1000 ms V0=300 мВ, p_within=0.1, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.2, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.2, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.3, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.3, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.3, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.75, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.75, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.85, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.75, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.85, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.95, тест=1, Time=1000 ms Симуляции для V0 = 300 мВ, Time=1000 ms завершены. spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.2])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.2])] spike counts [array([1.68])] spike counts [array([5.74])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([2.38])] spike counts [array([5.9])] spike counts [array([11.76])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.5])] spike counts [array([2.58])] spike counts [array([6.26])] spike counts [array([11.96])] spike counts [array([18.36])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.6])] spike counts [array([2.66])] spike counts [array([6.96])] spike counts [array([11.4])] spike counts [array([16.1])] spike counts [array([18.54])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.8])] spike counts [array([4.78])] spike counts [array([9.78])] spike counts [array([12.66])] spike counts [array([15.88])] spike counts [array([19.7])] spike counts [array([20.])]
Running simulations for V0 = 300 mV, Frequency = 20 Hz, STDP = On, Time=1000 ms V0=300 мВ, p_within=0.1, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.2, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.2, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.3, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.3, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.3, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.4, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.5, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.6, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.7, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=0.8, p_between=0.75, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.75, тест=1, Time=1000 ms V0=300 мВ, p_within=0.9, p_between=0.85, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.05, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.15, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.25, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.35, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.45, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.55, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.65, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.75, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.85, тест=1, Time=1000 ms V0=300 мВ, p_within=1.0, p_between=0.95, тест=1, Time=1000 ms Симуляции для V0 = 300 мВ, Time=1000 ms завершены. spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.72])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([2.04])] spike counts [array([6.5])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.76])] spike counts [array([4.68])] spike counts [array([9.8])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.96])] spike counts [array([5.94])] spike counts [array([11.36])] spike counts [array([16.8])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.36])] spike counts [array([1.48])] spike counts [array([5.16])] spike counts [array([10.38])] spike counts [array([15.78])] spike counts [array([18.98])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([1.38])] spike counts [array([6.76])] spike counts [array([9.36])] spike counts [array([16.16])] spike counts [array([19.06])] spike counts [array([19.5])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([0.])] spike counts [array([2.])] spike counts [array([7.04])] spike counts [array([10.64])] spike counts [array([14.8])] spike counts [array([19.26])] spike counts [array([19.76])] spike counts [array([20.])]
Генерация графиков завершена.
In [ ]: