A package for data-driven validation of neuron and ion channel models using SciUnit
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Updated
Jul 18, 2021 - Jupyter Notebook
A package for data-driven validation of neuron and ion channel models using SciUnit
Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etc...
Non-Linear Dynamic Systems
SPPU - BE ENTC (2015 Pattern) - Elective III
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
Salto - automatically generate, explore, and optimize neuron models.
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).
Implementation of leaky integrate-and-fire model.
This repository is simulating the process of decision making in our brain that is done by neuron populations.
Various experiments with floating point precision on a simulation of neuron spiking
Computational model of the electromotor command network of pulse-type mormyrids.
Python scripts supporting tutorials on phase plane analysis.
Factor analysis of multi-neuron spike trains in R
Python scripts supporting a tutorial on the Hodgkin-Huxley model.
A computational model of a medium spiny neuron
Model from Asadollahi et al. Hum. Mol. Genet. 2023
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