Python scripts supporting a tutorial on the Hodgkin-Huxley model.
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Updated
Apr 21, 2024 - Python
Python scripts supporting a tutorial on the Hodgkin-Huxley model.
Hodgkin and Huxley neuron model using Simulink and MATLAB. The Hodgkin and Huxley model is a mathematical representation of the electrical activity in a neuron, capturing the dynamics of ion channels and membrane potential.
Implementation of Hodgkin-Huxley Spiking Neuron Model
Large-scale thalamocortical network model for simulating physiological and paroxysmal brain rhythms: version 2
Large-scale thalamocortical network model for simulating physiological and paroxysmal brain rhythms: version 1
an implementation of Hodgkin-Huxley model using python package numpy and brian2
Code for the paper "Stochastic analysis of the electromagnetic induction effect on a neuron's action potential dynamics"
A code for simulating neuronal firing under the Hodgkin-Huxley model.
Neural simulations using Brian2 Python Package
This repository contains all material related to the course Computational Neuroscience (BT6270) in the Fall 2020 semester.
KU ELEC 436 - Bioelectronics
Modelling Hodgkin-Huxley neural response with dynamic input
A Hodgkin-Huxley model visualization for a neural tree
Various Numerical Analysis algorithms for science and engineering.
Model 3 HH neurons connected in different motifs and different axonal delays. Compute synchronization between spikes and information flow between them.
Implementation of Neuron-model: Integrate-and-fire, Hodgkin–Huxley, Izhikevich, FitzHugh-Nagumo, Poisson Spike
Simulation of a Mathematical Model of Homeostatic Regulation of Sleep-Wake Cycles by Hypocretin/Orexin (Postnova et al., 2009)
Code for the assignments for the Computational Neuroscience Course BT6270 in the Fall 2018 semester
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