MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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Updated
Sep 20, 2024 - Python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
The MATLAB toolbox for MEG, EEG and iEEG analysis
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
Deep learning software to decode EEG, ECG or MEG signals
Parameterizing neural power spectra into periodic & aperiodic components.
A list of openly available datasets in (mostly human) electrophysiology.
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)
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.
A list of openly available software tools for (mostly human) electrophysiology.
[PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
ECoG/EEG neural network decoder that can generalize to unseen participants and recording modalities. Replicates our published results: https://doi.org/10.1088/1741-2552/abda0b.
Methodological considerations for analyzing and interpreting neural oscillations.
Real-time analysis of intracranial neurophysiology recordings.
3D Visualization of Brain MRI
Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers
Functions for preprocessing timeseries data stored in the NWB format
FingerFlex: a new state of the art model for prediction finger movements from brain activity (ECoG).
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