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

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.

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).

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.

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

Python scripts supporting tutorials on phase plane analysis.

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.