MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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Updated
May 16, 2024 - Python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
The MATLAB toolbox for MEG, EEG and iEEG analysis
Deep learning software to decode EEG, ECG or MEG signals
3D Visualization of Brain MRI
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
Real-time analysis of intracranial neurophysiology recordings.
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
Package to analyze EEG, ECoG and other electrophysiology formats. It allows for visualization of the results and for a GUI that can be used to score sleep stages.
Evaluating methods for estimating aperiodic activity in electrophysiological data.
A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)
Parameterizing neural power spectra into periodic & aperiodic components.
Javascript engine for 3D brain model (used by RAVE project)
Code for simulating aperiodic EEG signals and detrending EEG spectra, as well as generating figures used in manuscript.
A list of openly available datasets in (mostly human) electrophysiology.
Time series analysis codes used in the company's data science projects.
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