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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.

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