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
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