Julia toolbox for analyzing neurophysiological data

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Deep learning software to decode EEG, ECG or MEG signals

Real-time analysis of intracranial neurophysiology recordings.

3D Visualization of Brain MRI

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

Javascript engine for 3D brain model (used by RAVE project)

Parameterizing neural power spectra into periodic & aperiodic components.

PTE Decode is an open-source software package for neural decoding.

Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data

A list of openly available datasets in (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.

A list of openly available software tools for (mostly human) electrophysiology.

Evaluating methods for estimating aperiodic activity in electrophysiological data.

An open-source software package for working with electrophysiological data.

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

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)

Simulates aperiodic EEG signals and detrends EEG spectra, as well as generates figures used in manuscript.