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MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Deep learning software to decode EEG, ECG or MEG signals
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
A list of openly available datasets in (mostly human) electrophysiology.
Parameterizing neural power spectra into periodic & aperiodic components.
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)
A list of openly available software tools for (mostly human) electrophysiology.
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.
[PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing
Real-time analysis of intracranial neurophysiology recordings.
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
3D Visualization of Brain MRI
FingerFlex: a new state of the art model for prediction finger movements from brain activity (ECoG).
Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers
Methodological considerations for analyzing and interpreting neural oscillations.
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.
This repository provides analysis code to analyze intracranial electrophysiological data with data-driven spatial filters.
Julia toolbox for analyzing neurophysiological data