SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals

Abstract Neuronal signals generally represent activation of the neuronal networks and give insights into brain functionalities. They are considered as fingerprints of actions and their processing across different structures of the brain. These recordings generate a large volume of data that are susc...

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Autores principales:	Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, M. Shamim Kaiser, Alberto Averna, David J. Guggenmos, Randolph J. Nudo, Michela Chiappalone, Jianhui Chen
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	SpringerOpen 2021-07-01
Colección:	Brain Informatics
Materias:	Local field potential Artifacts Neural networks Machine learning Neuronal signals
Acceso en línea:	https://doi.org/10.1186/s40708-021-00135-3
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