Plan, create and localize high-density ECoG grid onto the brain surface
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Updated
Sep 27, 2021 - Python
Plan, create and localize high-density ECoG grid onto the brain surface
This repository provides analysis code to analyze intracranial electrophysiological data with data-driven spatial filters.
Time series visualizer and data processing tools for Electrocorticography (ECoG) signals stored in NWB files, for Python.
Real-time analysis of intracranial neurophysiology recordings.
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.
Deep learning software to decode EEG, ECG or MEG signals
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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