Ascertaining neuron importance by information theoretical analysis in motor Brain-Machine Interfaces

Neural Networks

Volumn 22, Issue 5-6, 2009, Pages 781-790

  Wang, Yiwen ^a   Principe, Jose C ^a   Sanchez, Justin C ^b  

^a J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

Brain Machine Interfaces; Information theoretical analysis; Kinematics decoding; Neuron importance

Indexed keywords

BRAIN MACHINE INTERFACE; BRAIN-MACHINE INTERFACES; DECODING ALGORITHM; DECODING PERFORMANCE; HIGH SPECIFICITY; INFORMATION THEORETICAL ANALYSIS; NEURAL SPIKE; POINT PROCESS; SUBSET SELECTION;

DECODING; KINEMATICS; NEURAL NETWORKS; NEURONS; TUNING;

SET THEORY;

ARTICLE; BRAIN COMPUTER INTERFACE; BRAIN CORTEX; BRAIN NERVE CELL; IN VIVO STUDY; KINEMATICS; MATHEMATICAL COMPUTING; MOVEMENT (PHYSIOLOGY); PRIORITY JOURNAL; SIMULATION; SPIKE; TASK PERFORMANCE;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; ARM; BIOMECHANICS; COMPUTER SIMULATION; ELECTRODES, IMPLANTED; HAPLORHINI; INFORMATION THEORY; MODELS, NEUROLOGICAL; MONTE CARLO METHOD; MOTOR ACTIVITY; MOTOR CORTEX; NEURONS; POISSON DISTRIBUTION; PSYCHOMOTOR PERFORMANCE; SOMATOSENSORY CORTEX; USER-COMPUTER INTERFACE;

EID: 68149124511     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2009.06.007     Document Type: Article

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