首页> Journal of neural engineering> Impact of referencing scheme on decoding performance of LFP-based brain-machine interface.

Impact of referencing scheme on decoding performance of LFP-based brain-machine interface.

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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 common average reference deep learning local field potential local motor potential neural decoding referencing scheme

医学主题词动物(Animals);诱发电位(Evoked Potentials);直鼻猴亚目(Haplorhini);运动皮质(Motor Cortex)

DOI 10.1088/1741-2552/abce3c

PMID 33242850

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