A quantitative comparison of linear and non-linear models of motor cortical activity for the encoding and decoding of arm motions

International IEEE/EMBS Conference on Neural Engineering, NER

Volumn 2003-January, Issue , 2003, Pages 189-192

  Gao, Yun ^a   Black, Michael J ^b   Bienenstock, Elie ^a,c   Wu, Wei ^a   Donoghue, John P ^c  

^a BROWN UNIVERSITY   (United States)

^b Brown University   (United States)

^c BROWN UNIVERSITY   (United States)

Author keywords

Acceleration; Bayesian methods; Brain modeling; Computer displays; Decoding; Ear; Encoding; Linearity; Mathematics; Testing

Indexed keywords

ACCELERATION; BAYESIAN NETWORKS; BRAIN MODELS; DECODING; ENCODING (SYMBOLS); LINEAR MOTORS; MATHEMATICAL TECHNIQUES; NEURONS; STATISTICAL TESTS; TESTING;

BAYESIAN METHODS; COMPUTER DISPLAY; EAR; GENERALIZED ADDITIVE MODEL; GENERALIZED LINEAR MODEL; LINEARITY; QUANTITATIVE COMPARISON; RECURSIVE BAYESIAN ESTIMATORS;

ELECTRIC MACHINE THEORY;

EID: 67650698227     PISSN: 19483546     EISSN: 19483554     Source Type: Conference Proceeding    
DOI: 10.1109/CNE.2003.1196789     Document Type: Conference Paper

References (6)

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