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

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

SPPU - BE ENTC (2015 Pattern) - Elective III

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

Modelling Hodgkin-Huxley neural response with dynamic input

Factor analysis of multi-neuron spike trains in R

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).

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

Python implementation of Izhikevich Neuron Model

Salto - automatically generate, explore, and optimize neuron models.

Implementation of leaky integrate-and-fire model.

Various experiments with floating point precision on a simulation of neuron spiking

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

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