Factor analysis of multi-neuron spike trains in R
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Updated
May 23, 2024 - R
Factor analysis of multi-neuron spike trains in R
CS425 Assignments
Python scripts supporting a tutorial on the Hodgkin-Huxley model.
Python scripts supporting tutorials on phase plane analysis.
This repository is generating neuron mesh geometries from 1d Neuromorpho.org geometries.
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
Salto - automatically generate, explore, and optimize neuron models.
Model from Asadollahi et al. Hum. Mol. Genet. 2023
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).
A computational model of a medium spiny neuron
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
A package for data-driven validation of neuron and ion channel models using SciUnit
Non-Linear Dynamic Systems
Computational model of the electromotor command network of pulse-type mormyrids.
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.
Modelling Hodgkin-Huxley neural response with dynamic input
nFit - an application to automatically generate and optimize neuron models.
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