Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etc...

This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it has original content in terms of code.

An FPGA design for simulating biological neurons

Implementations of various simulations for integrate and fire models, as well as conductance based models with synaptic neurotransmission

Spike Neural Network in Prolog (and Arduino)

Izhikevich Spiking Neural Network

Implementation of Neuron-model: Integrate-and-fire, Hodgkin–Huxley, Izhikevich, FitzHugh-Nagumo, Poisson Spike

See http://www.izhikevich.org/publications/spikes.htm

Model of the Thalamo-Cortical Microcircuit

Python implementation of Izhikevich Neuron Model

C++ classes of Izhikevich type neurons that can be networked to simulate custom spiking neural networks

For simulating and stimulating Izhikevich neural networks

Izhikevich Neuron Model Simulation ⚙️

Implementation of the paper A Spiking Network that Learns to Extract Spike Signatures from Speech Signals

Python scripts supporting tutorials on Izhikevich neuron model.