Pinned Repositories
bemobil-pipeline
The BeMoBIL Pipeline is a MATLAB toolbox for analysis and visualization of mobile brain/body imaging data. It includes both wrappers of EEGLAB and MOBILAB and additional functionalities.
brainstorm3
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
eeglab
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
fieldtrip
The MATLAB toolbox for MEG, EEG and iEEG analysis
fooof_mat
A Matlab wrapper for spectral parameterization.
iCanClean
iCanClean EEGLAB plugin
leima1.github.io
NFT
Neuroelectromagnetic Forward Modeling Toolbox
zapline-plus
Improvements of the ZapLine function to remove line noise from EEG/MEG data. Adds automatic detection of the number of components to remove, and chunks the data into segments to account for nonstationarities.
zapline-plus
Improvements of the ZapLine function to remove line noise from EEG/MEG data. Adds automatic detection of the number of components to remove, and chunks the data into segments to account for nonstationarities.
leima1's Repositories
leima1/bemobil-pipeline
The BeMoBIL Pipeline is a MATLAB toolbox for analysis and visualization of mobile brain/body imaging data. It includes both wrappers of EEGLAB and MOBILAB and additional functionalities.
leima1/brainstorm3
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
leima1/eeglab
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
leima1/fieldtrip
The MATLAB toolbox for MEG, EEG and iEEG analysis
leima1/fooof_mat
A Matlab wrapper for spectral parameterization.
leima1/iCanClean
iCanClean EEGLAB plugin
leima1/leima1.github.io
leima1/NFT
Neuroelectromagnetic Forward Modeling Toolbox
leima1/zapline-plus
Improvements of the ZapLine function to remove line noise from EEG/MEG data. Adds automatic detection of the number of components to remove, and chunks the data into segments to account for nonstationarities.