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

A package for data-driven validation of neuron and ion channel models using SciUnit

Non-Linear Dynamic Systems

SPPU - BE ENTC (2015 Pattern) - Elective III

Paper describing the xolotl neuron and network simulator. Includes Latex source and MATLAB code to reproduce every figure in the paper.

Computational model of the electromotor command network of pulse-type mormyrids.

This repository is generating neuron mesh geometries from 1d Neuromorpho.org geometries.

Modelling Hodgkin-Huxley neural response with dynamic input

Factor analysis of multi-neuron spike trains in R

Source code, results and analysis of the resulting population of neurons from the article 'On the use of a multimodal optimizer for fitting neuron models. Application to the cerebellar granule cell. (2021) Front. in Neuroinf.

Implementation of leaky integrate-and-fire model.

Python scripts supporting a tutorial on the Hodgkin-Huxley model.

These are models that are used to study the spiking of the neurones organized according to their complexity from just considering the voltage to doing the ADEX model

Project done as part of the course Intro to Neural and Cognitive Modelling at IIIT-H

Investigating the performance of a cross-correlation method of inferring functional connectivity in adaptive-exponential integrate and fire (aEIF) neuron model on small-scale neuronal networks of different activity patterns (synchronous & regular / asynchronous & regular) and topologies (random / scale-free).

Python implementation of Izhikevich Neuron Model

This repository is simulating the process of decision making in our brain that is done by neuron populations.