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Releases: fardeen0424/Izhikevich-Neuron-Model-Simulation

v1.0

02 Oct 01:12
@fardeen0424 fardeen0424
v1.0.0
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Release v1.0: Izhikevich Neuron Model Simulation

Release Date : 1st October 2024

Description

This initial release (v1.0) provides a Python implementation of the Izhikevich neuron model to simulate Regular Spiking (RS) neurons. The simulation studies the RS neuron's response to varying external input levels.

Key Features

  • Implementation of Izhikevich neuron model using two coupled differential equations
  • Simulation of RS neuron behavior for varying input levels
  • Plotting of membrane potential time-series and mean spike rate vs. input level
  • Interactive Jupyter Notebook for easy experimentation

Changes

  • Initial commit with complete implementation

Future Work

  • Explore other neuron types (e.g., Fast Spiking, Low-Threshold Spiking)
  • Implement more complex simulations (e.g., networks, synaptic plasticity)
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