synapses[connName].delay = rand() * delay['ee_input']
synapses[connName].w = weightMatrix.flatten()
#------------------------------------------------------------------------------
# run the simulation and set inputs
#------------------------------------------------------------------------------
fig_num = 1
input_weight_monitor, fig_weights = plot_2d_input_weights()
#fig_num += 1
input_groups['Xe'].rates = 0 * Hz
defaultclock.dt = 0.5 * ms
run(0 * second)
j = 0
while j < 5:
normalize_weights()
input_groups['Xe'].rates = training['x'][0, :, :].reshape(
(n_input)) / 8. * 2. * Hz
run(single_example_time)
update_2d_input_weights(input_weight_monitor, fig_weights)
input_groups['Xe'].rates = 0 * Hz
run(resting_time)
j += 1
b.ioff()
b.show()
# The code seems to fail at the following step (NotImplementedError: Do not know how to plot object of type <class 'brian2.core.variables.VariableView'>) brian_plot(connections['XeAe'].w) subplot(3,1,2) brian_plot(connections['AeAi'].w) subplot(3,1,3) brian_plot(connections['AiAe'].w) plt.figure(6) subplot(3,1,1) brian_plot(connections['XeAe'].delay) subplot(3,1,2) brian_plot(connections['AeAi'].delay) subplot(3,1,3) brian_plot(connections['AiAe'].delay) b2.ioff() b2.show()
brian_plot(connections['XeAe'].w) subplot(3,1,2) brian_plot(connections['AeAi'].w) subplot(3,1,3) brian_plot(connections['AiAe'].w) plt.figure(6) subplot(3,1,1) brian_plot(connections['XeAe'].delay) subplot(3,1,2) brian_plot(connections['AeAi'].delay) subplot(3,1,3) brian_plot(connections['AiAe'].delay) b2.ioff() b2.show()
