Spiking neural network simulator based on memristor characteristics and crossbar architecture
If you whant to run some examples or construct your own SNN clone repo
git clone https://github.com/anddudkin/anddudkin_mem_project.git
Spiking neural network (SNN) operates with spikes. SNN takes spikes as input and produce output spikes with respect to learning rule.
We can use different types of neurons (IF,LIF, etc.). Dinamics of Leaky Integrate and Fire (LIF) neuron membrance presented in the picture below.
Implemented one of the basic SNN learning rules - STDP (Spike-timing dependent plasticity)
Weights plot from MNIST_example.py
Baseline for constructing your own network
Implemented crossbar takes into account impact of wire resistance
