A MATLAB package for modelling multivariate stimulus-response data
-
Updated
Dec 1, 2024 - MATLAB
A MATLAB package for modelling multivariate stimulus-response data
Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline, Information Sciences, 2021, submitted."
Classification toolbox for ERP and SSVEP based BCI data
Eye movement and blink-related EEG and MEG artifact correction algorithms
Cerebral Signal's Instantaneous Parameters (Phase, Frequency & Envelope) Estimation & Analysis MATLAB Toolbox
EEG Signal Processing - Entropy
Essential Motor Cortex Signal Processing MATLAB Toolbox which implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification
Some studies regarding the selection of optimal channels in a BCI based on motor imagery
matlab code for exponential family harmoniums, RBMs, DBNs, and relata
BMI Project for the Biomedical Engineering Department at Imperial College London, UK
sharing code and data for artifact removal in EEG
high-variance electrode artifact removal (HEAR) algorithm
Official Code for STRCA, FBTRCA for movement-related cortical potential in the brain-computer interface context
Python Brain-Computer Interface Software. MATLAB toolbox's for Brain-Computer Interfacing (BCI) R&D
Research Goal: Determine if there is hemisphere-dependent change in motor signal origin (measured by EEG) in patients who recover motor function through brain-computer interface (BCI) therapy.
A general purpose BCI platform designed to work with Neuralynx
Data and code for the metrological characterization of a low-cost wearable brain-computer interface
This is the homepage for my bachelor's project reports and updates at Shiraz University.
MATLAB toolbox for Brain-Computer Interfacing (BCI)
Add a description, image, and links to the brain-computer-interface topic page so that developers can more easily learn about it.
To associate your repository with the brain-computer-interface topic, visit your repo's landing page and select "manage topics."