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

A Hodgkin-Huxley model visualization for a neural tree

(Spaghetti) Implementation of Hodgkin-Huxley Spiking Neuron Model

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"

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

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.

Physiological Models

KU ELEC 436 - Bioelectronics

Simulation of a Mathematical Model of Homeostatic Regulation of Sleep-Wake Cycles by Hypocretin/Orexin (Postnova et al., 2009)

Homeworks of Neuroscience of Learning, Memory and Cognition, taught by Dr. Hamid Karbalai Aghajan.

Functions to plot various parameters of the HH neuron model

Network Model of the Cortical Basal Ganglia during Parkinson's Disease and Deep Brain Stimulation

an implementation of Hodgkin-Huxley model using python package numpy and brian2

Hodgkin-Huxley, Logistic Map, Game of Life, Brian's Brain, Neuronal Cellular Automata, Morris-Lecar, Wilson-Cowan, EEG, fMRI