SNN_WTA
Uses:
Python 3.6.9
bindsnet 0.2.7
A modified WTA learning scheme, trained on MNIST, based on first firing neurons:
structure: input layer > hidden layer > locally recurrent output layer
STDP (PostPre) learning.
Average first spike for output neurons is used to determine MNIST digit.
Best accuracy is about 85%, but decreases after 20% of MNIST training as of now.