There are 0 repository under hodgkin-huxley-model topic.
Implementation of a Spiking Neural Network in Tensorflow.
Code for the assignments for the Computational Neuroscience Course BT6270 in the Fall 2018 semester
Neural simulations using Brian2 Python Package
Implementation of Neuron-model: Integrate-and-fire, Hodgkin–Huxley, Izhikevich, FitzHugh-Nagumo, Poisson Spike
Code for the paper "Stochastic analysis of the electromagnetic induction effect on a neuron's action potential dynamics"
Modelling Hodgkin-Huxley neural response with dynamic input
Implementation of Hodgkin-Huxley Spiking Neuron Model
This repository contains all material related to the course Computational Neuroscience (BT6270) in the Fall 2020 semester.
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.
NEUROFIT is a program that fits Hodgkin-Huxley models to voltage-clamp data.
KU ELEC 436 - Bioelectronics
Simulation of a Mathematical Model of Homeostatic Regulation of Sleep-Wake Cycles by Hypocretin/Orexin (Postnova et al., 2009)
an implementation of Hodgkin-Huxley model using python package numpy and brian2
A code for simulating neuronal firing under the Hodgkin-Huxley model.
Various Numerical Analysis algorithms for science and engineering.
Large-scale thalamocortical network model for simulating physiological and paroxysmal brain rhythms: version 1
Large-scale thalamocortical network model for simulating physiological and paroxysmal brain rhythms: version 2
Python scripts supporting a tutorial on the Hodgkin-Huxley model.
Functions to plot various parameters of the HH neuron model