#计算机科学#MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
#计算机科学#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 Analy...
#Awesome#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.
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
#计算机科学#Real-time analysis of intracranial neurophysiology recordings.
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.
#计算机科学#FingerFlex: a new state of the art model for prediction finger movements from brain activity (ECoG).
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.
Javascript engine for 3D brain model (used by RAVE project)