Statistical encoding model for a primary motor cortical brain-machine interface

IEEE Transactions on Biomedical Engineering

Volumn 52, Issue 7, 2005, Pages 1312-1322

  Shoham, Shy ^a   Paninski, Liam M ^b   Fellows, Matthew R ^c   Hatsopoulos, Nicholas G ^d   Donoghue, John P ^c   Normann, Richard A ^e  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c BROWN UNIVERSITY   (United States)

^d UNIVERSITY OF CHICAGO   (United States)

^e UNIVERSITY OF UTAH   (United States)

Author keywords

Discrete distribution; LN model; Neural decoding; Neuroprosthetics; Sequential Monte Carlo

Indexed keywords

HUMAN COMPUTER INTERACTION; KINEMATICS; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; NEUROLOGY; STATISTICAL METHODS; TIME VARYING SYSTEMS;

BRAIN-MACHINE INTERFACES; LINEAR-NONLINEAR (LN) SYSTEMS; MOTOR CORTICAL NEURONS; MOTOR SYSTEMS;

BRAIN;

ANIMAL EXPERIMENT; ARTICLE; HAND MOVEMENT; KINEMATICS; LINEAR SYSTEM; MACACA; MAN MACHINE INTERACTION; MICROELECTRODE; MONTE CARLO METHOD; MOTONEURON; MOTOR CORTEX; MOTOR SYSTEM; NONHUMAN; NONLINEAR SYSTEM; STATISTICAL MODEL; TASK PERFORMANCE; TECHNIQUE;

ALGORITHMS; ANIMALS; BRAIN MAPPING; COGNITION; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, MOTOR; MACACA; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; MOTOR CORTEX; SIGNAL PROCESSING, COMPUTER-ASSISTED; USER-COMPUTER INTERFACE;

EID: 22044446344     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2005.847542     Document Type: Article

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