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Volumn 26 VI, Issue , 2004, Pages 4607-4610

Neuron selection and visual training for population vector based cortical control

Author keywords

Algorithm; Cortical coding; Cortical control; Motor cortex; Neuroprosthetics

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; ENCODING (SYMBOLS); ERROR CORRECTION; OPTIMAL CONTROL SYSTEMS; PARAMETER ESTIMATION; PERSONNEL TRAINING; SENSORY PERCEPTION; VIRTUAL REALITY;

EID: 11144339321     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (15)
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  • 2
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    • Taylor, D.M.1    Tillery, S.I.2    Schwartz, A.B.3
  • 4
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    • Using virtual reality to test the feasibility of controlling an upper limb FES-system directly from multi-unit activity in motor cortex
    • Cleveland, Ohio
    • D. M. Taylor and A. B. Schwartz, "Using virtual reality to test the feasibility of controlling an upper limb FES-system directly from multi-unit activity in motor cortex," presented at Proceedings 6th Annual International Functional Electrical Stimulation Society, Cleveland, Ohio, 2001.
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    • Taylor, D.M.1    Schwartz, A.B.2
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    • Brain-machine interface: Instant neural control of a movement signal
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  • 11
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    • Differential representation of perception and action in the frontal cortex
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    • Schwartz, A.B.1    Moran, D.W.2    Reina, G.A.3
  • 12
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    • Reina, G.A.1    Moran, D.W.2    Schwartz, A.B.3
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.