EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

Real-time EEG source localization based on Smarting mBrainTrain EEG headset and implemented in Matlab.

Sequential adaptive elastic net (SAEN) approach, complex-valued LARS solver for weighted Lasso/elastic-net problems, and sparsity (or model) order detection with an application to single-snapshot source localization.

Source localization and connectivity analysis of high-density EEG data

ICA preprocessing & source localization for EEG. Please read wiki for detailed info:

Localization of brain sources measured by EEG using 3 approaches: Gibbs sampler (Markov chain Monte Carlo algorithm), Minimum Norm Estimates (MNE) and Source Imaging based on Structured Sparsity (SISSY)

Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017

Coupled matrix-tensor factorization for integrating EEG and ffMRI on the brain cortical surface with source reconstruction

The Brain Entropy in space and time (BEst) plug-in in the Brainstorm software

TRAP MUSIC algorithm for MEG/EEG multi-source localization

Code to analyze high-density EEG and concurrent EMG/EOG datastreams during balance perturbations (replicates results from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088363/)

This projects presents a couple of signal methods for detecting and localizing an acoustic signal source by using an Arduino Board and 4 microphones.

Biomedical Signal & Image Processing Lab Projects.

EEG Signal Processing project, solving the brain source localization problem using various methods and models.

Processing bioelectrical signals and medical images

EEG forward problem pipeline