Salto - automatically generate, explore, and optimize neuron models.
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Updated
Apr 13, 2023 - AMPL
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
Computational model of the electromotor command network of pulse-type mormyrids.
This repository is simulating the process of decision making in our brain that is done by neuron populations.
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.
Modelling Hodgkin-Huxley neural response with dynamic input
nFit - an application to automatically generate and optimize neuron models.
Paper describing the xolotl neuron and network simulator. Includes Latex source and MATLAB code to reproduce every figure in the paper.
Model from Asadollahi et al. Hum. Mol. Genet. 2023
This repository is generating neuron mesh geometries from 1d Neuromorpho.org geometries.
Python scripts supporting a tutorial on the Hodgkin-Huxley model.
Factor analysis of multi-neuron spike trains in R
A computational model of a medium spiny neuron
Python implementation of Izhikevich Neuron Model
CS425 Assignments
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