Robust and accurate decoding of hand kinematics from entire spiking activity using deep learning.

Ahmadi, Nur; Constandinou, Timothy G; Bouganis, Christos-Savvas

Ahmadi, Nur; Constandinou, Timothy G; Bouganis, Christos-Savvas.

Afiliação

Ahmadi N; Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, United Kingdom.
Constandinou TG; Centre for Bio-Inspired Technology, Institute of Biomedical Engineering, Imperial College London, London SW7 2AZ, United Kingdom.
Bouganis CS; Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, United Kingdom.

J Neural Eng ; 18(2)2021 02 26.

Article em En | MEDLINE | ID: mdl-33477128

Assuntos

Interfaces Cérebro-Computador; Aprendizado Profundo; Córtex Motor; Animais; Fenômenos Biomecânicos; Redes Neurais de Computação

Palavras-chave

brain-machine interface; deep learning; entire spiking activity; neural decoding; quasi-recurrent neural network

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interfaces Cérebro-Computador / Aprendizado Profundo / Córtex Motor Limite: Animals Idioma: En Revista: J Neural Eng Assunto da revista: NEUROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

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