electroCUDA – see wiki for documentation & theoretical overview
Summary statistics of an independent neuronal source decomposed by electroCUDA
ElectroCUDA – robust preprocessing & analysis for electrophysiology. Core features include noise-resistant signal processing, robust statistics & extensive hardware acceleration.
ElectroCUDA is intended for any multichannel field potential recordings (LFP/EEG/MEG), but development has focused on intracranial EEG (ECoG/sEEG) thus far.
Code is Matlab-based with calls to compiled CUDA, C/C++ & Fortran binaries. User-friendly wrappers abstract away all non-Matlab operations. Modular code & data structures facilitate easy interoperability with other packages. Compute performance is maximized via layered hardware acceleration & comprehensive code optimizations.
This work was supported by National Science Foundation Graduate Research Fellowship DGE-1650604 and Department of Defense Grant 13RSA281. See wiki for full acknowledgments.
ElectroCUDA is free and open-source under GNU GPL 3.0
Use this code at your own risk. Users assume full responsibility for any eventuality related to this code. This code is for research purposes only and is not intended for clinical or medical use.
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