KU ELEC 436 - Bioelectronics
-
Updated
May 17, 2021 - Python
KU ELEC 436 - Bioelectronics
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
Simulation of a Mathematical Model of Homeostatic Regulation of Sleep-Wake Cycles by Hypocretin/Orexin (Postnova et al., 2009)
Functions to plot various parameters of the HH neuron model
NEUROFIT is a program that fits Hodgkin-Huxley models to voltage-clamp data.
A code for simulating neuronal firing under the Hodgkin-Huxley model.
Various Numerical Analysis algorithms for science and engineering.
Python scripts supporting a tutorial on the Hodgkin-Huxley model.
Large-scale thalamocortical network model for simulating physiological and paroxysmal brain rhythms: version 2
Implementation of Hodgkin-Huxley Spiking Neuron 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.
Model 3 HH neurons connected in different motifs and different axonal delays. Compute synchronization between spikes and information flow between them.
Code for the paper "Stochastic analysis of the electromagnetic induction effect on a neuron's action potential dynamics"
This repository contains all material related to the course Computational Neuroscience (BT6270) in the Fall 2020 semester.
Modelling Hodgkin-Huxley neural response with dynamic input
Implementation of Neuron-model: Integrate-and-fire, Hodgkin–Huxley, Izhikevich, FitzHugh-Nagumo, Poisson Spike
Add a description, image, and links to the hodgkin-huxley-model topic page so that developers can more easily learn about it.
To associate your repository with the hodgkin-huxley-model topic, visit your repo's landing page and select "manage topics."