首页> Journal of neural engineering> Robust and accurate decoding of hand kinematics from entire spiking activity using deep learning.

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

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第一作者： Nur,Ahmadi

第一单位： Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, United Kingdom.;Centre for Bio-Inspired Technology, Institute of Biomedical Engineering, Imperial College London, London SW7 2AZ, United Kingdom.

作者： Nur,Ahmadi ^[1] ; Timothy G,Constandinou ^[2] ; Christos-Savvas,Bouganis ^[3]

作者单位： Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, United Kingdom.;Centre for Bio-Inspired Technology, Institute of Biomedical Engineering, Imperial College London, London SW7 2AZ, United Kingdom. ^[1] Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, United Kingdom.;Centre for Bio-Inspired Technology, Institute of Biomedical Engineering, Imperial College London, London SW7 2AZ, United Kingdom.;Care Research & Technology Centre, UK Dementia Research Institute at Imperial College London, London, United Kingdom. ^[2] Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, United Kingdom. ^[3]

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

医学主题词动物(Animals);运动皮质(Motor Cortex)

DOI 10.1088/1741-2552/abde8a

PMID 33477128

发布时间 2022-03-07

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准确一般字义偏差语意偏离译文作用小提交