Implementations of various simulations for integrate and fire models, as well as conductance based models with synaptic neurotransmission
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Updated
Sep 4, 2024 - Rust
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
Model of the Thalamo-Cortical Microcircuit
Python scripts supporting tutorials on Izhikevich neuron model.
C++ classes of Izhikevich type neurons that can be networked to simulate custom spiking neural networks
Implementation of the paper A Spiking Network that Learns to Extract Spike Signatures from Speech Signals
Python implementation of Izhikevich Neuron Model
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.
Implementation of Neuron-model: Integrate-and-fire, Hodgkin–Huxley, Izhikevich, FitzHugh-Nagumo, Poisson Spike
Izhikevich Spiking Neural Network
Spike Neural Network in Prolog (and Arduino)
Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etc...
For simulating and stimulating Izhikevich neural networks
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