Izhikevich Neuron Model Analysis

Brain Modeling project

Link to the Web Application is here

Overview

This repository contains an in-depth analysis of the Izhikevich neuron model, exploring various neuronal behaviors and network structures. The project includes a Jupyter Notebook with simulations and visualizations, and a Streamlit web application that allows users to interactively modify model parameters and observe their effects.

Contents

• Notebook: A Jupyter Notebook implementing and analyzing the Izhikevich model. The notebook covers:

  • Different neuronal behaviors (e.g., regular spiking, intrinsically bursting, chattering, fast spiking, thalamocortical neurons, resonator, and low-threshold spiking).
  • Phase plane plots for visualizing neuron dynamics.
  • A simulation of a population of neurons in a sparse network of spiking cortical neurons.
  • A small-world network implementation.
  • Raster plots, firing rate analysis, and power spectral density plots.

• Streamlit App: A web application (implemented with Streamlit) that provides an interactive environment to experiment with the Izhikevich model. Users can adjust model parameters and observe how neuronal activity changes in real time.

Credits

• Izhikevich Model: Developed by Eugene M. Izhikevich.
• Web Application: Built using Streamlit to provide an interactive experience.