Salto - automatically generate, explore, and optimize neuron models.
-
Updated
Apr 13, 2023 - AMPL
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
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.
Project done as part of the course Intro to Neural and Cognitive Modelling at IIIT-H
Model from Asadollahi et al. Hum. Mol. Genet. 2023
Python scripts supporting a tutorial on the Hodgkin-Huxley model.
Factor analysis of multi-neuron spike trains in R
nFit - an application to automatically generate and optimize neuron models.
A computational model of a medium spiny neuron
CS425 Assignments
This repository is generating neuron mesh geometries from 1d Neuromorpho.org geometries.
Python implementation of Izhikevich Neuron Model
Computational model of the electromotor command network of pulse-type mormyrids.
Add a description, image, and links to the neuron-model topic page so that developers can more easily learn about it.
To associate your repository with the neuron-model topic, visit your repo's landing page and select "manage topics."