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Building an adaptive interface via unsupervised tracking of latent manifolds.

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第一作者： Fabio,Rizzoglio

第一单位： Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy; Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA; Shirley Ryan Ability Lab, Chicago, IL, 60611, USA. Electronic address: fabio.rizzoglio@edu.unige.it.

作者： Fabio,Rizzoglio ^[1] ; Maura,Casadio ^[2] ; Dalia,De Santis ^[3] ; Ferdinando A,Mussa-Ivaldi ^[4]

作者单位： Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy; Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA; Shirley Ryan Ability Lab, Chicago, IL, 60611, USA. Electronic address: fabio.rizzoglio@edu.unige.it. ^[1] Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy. Electronic address: maura.casadio@unige.it. ^[2] Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA; Shirley Ryan Ability Lab, Chicago, IL, 60611, USA; Department of Robotics, Brain and Cognitive Sciences, Istituto Italiano di Tecnologia, Via Enrico Melen 83, 16152, Genoa, Italy. Electronic address: dalia.desantis@iit.it. ^[3] Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA; Shirley Ryan Ability Lab, Chicago, IL, 60611, USA. Electronic address: sandro@northwestern.edu. ^[4]

关键词 Autoencoder networks Body–machine interface Decoder adaptation Human–machine interaction Motor learning

医学主题词校准(Calibration);计算机安全(Computer Security);人类(Humans)

DOI 10.1016/j.neunet.2021.01.009

PMID 33636657

发布时间 2021-05-21

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准确一般字义偏差语意偏离译文作用小提交