learning.py

This module contains classes that can learn the weights.

class neurons.learning.STDP(eta, w_in, w_out, tau, window_size, verbose=False)

Spike Timing Dependent Plasticity

learning_window(x)

Constant Learning Window

Parameters:x –
Returns:
learning_window_neuron_post(t1, t2_list)

Return the sum of the learning windows of one neuron.

Parameters:
  • t1 – current time
  • t2_list – spiking times of neuron
learning_window_neuron_pre(t1, t2_list)

Return the sum of the learning windows of one neuron. :param t1: current time :param t2_list: spiking times of neuron

weight_change(spikes, weights, t)

Calculate the weight change at time t. Changes the weights in place.

Parameters:
  • spikes – Spiketrain
  • weights – current weights
Returns:

Changes in weights