A MATLAB neuron simulator. Very fast (written in C++). Flexible (fully object oriented). Immediate (live manipulation in MATLAB). Comes with a powerful parameter optimizer. Get started ➡️

Code for the assignments for the Computational Neuroscience Course BT6270 in the Fall 2018 semester

Modelling Hodgkin-Huxley neural response with dynamic input

Comprehensive Computational Neuroscience course materials (NYCU LSNS30045). Includes Python-based implementations of neural encoding models, spike-triggered averages, LIF & Hodgkin-Huxley simulations, with lecture notes, homework, and real neural data.

Computational neuroscience project bridging neural biophysics and information theory. Features a from-scratch Hodgkin-Huxley model, complexity metrics (LZC, Sample Entropy), and clinical application to motor imagery and seizure detection using real EEG datasets (CHB-MIT, EEGBCI).

Code to explore gating variables and simulate an action potential using the equations from the 1952 Hodgkin-Huxley paper, "A quantitative description of membrane current and its application to conduction and excitation in nerve"

This repository contains the basic bio-physical models as part of the course.