Pure python implementation of SNN
RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time Dependant Plasticity (STDP)- an alternate to gradient descent. This repository contains layers built on top of Lasagne layers for spiking neural networks. This is the first implementation of spiking neural networ…
Convolutional Spiking Neural Network to recognize speech utterances using Spike-Timing-Dependent Plasticity
Spiking Neural network
Porr, B. and Wörgötter, F. (2006) Strongly Improved Stability and Faster Convergence of Temporal Sequence Learning by Using Input Correlations Only
An abstract neural simulator based on actor model for spike-timing dependent plasticity.
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