For simulating and stimulating Izhikevich neural networks
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Updated
Oct 9, 2018 - C++
For simulating and stimulating Izhikevich neural networks
C++ classes of Izhikevich type neurons that can be networked to simulate custom spiking 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.
Model of the Thalamo-Cortical Microcircuit
Python implementation of Izhikevich Neuron Model
Izhikevich Spiking Neural Network
Implementation of Neuron-model: Integrate-and-fire, Hodgkin–Huxley, Izhikevich, FitzHugh-Nagumo, Poisson Spike
Spike Neural Network in Prolog (and Arduino)
Implementations of various simulations for integrate and fire models, as well as conductance based models with synaptic neurotransmission
An FPGA design for simulating biological neurons
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.
Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etc...
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