Closing the loop for memory prosthesis: Detecting the role of hippocampal neural ensembles using nonlinear models

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 20, Issue 4, 2012, Pages 510-525

  Hampson, Robert E ^a   Song, Dong ^b   Chan, Rosa H M ^b   Sweatt, Andrew J ^a   Riley, Mitchell R ^a   Goonawardena, Anushka V ^a   Marmarelis, Vasilis Z ^b   Gerhardt, Greg A ^c   Berger, Theodore W ^b   Deadwyler, Sam A ^a  

^a WAKE FOREST SCHOOL OF MEDICINE   (United States)

^b University of Southern California ^*  (United States)

^c UNIVERSITY OF KENTUCKY   (United States)

Author keywords

Closed loop control; hippocampal ensembles; nonlinear math model; relation to normal encoding patterns; short term memory task

Indexed keywords

CLOSED-LOOP CONTROL; ENCODING PATTERNS; HIPPOCAMPAL ENSEMBLES; MATH MODEL; SHORT TERM MEMORY;

ENCODING (SYMBOLS); MATHEMATICAL MODELS; MIMO SYSTEMS;

NEURAL PROSTHESES;

ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER SIMULATION; HIPPOCAMPUS; INFORMATION RETRIEVAL; LONG EVANS RAT; MEMORY; METHODOLOGY; NERVE CELL NETWORK; NONLINEAR SYSTEM; PHYSIOLOGY; PROSTHESES AND ORTHOSES; PSYCHOPHYSIOLOGY; RAT;

ANIMALS; BIOFEEDBACK, PSYCHOLOGY; COMPUTER SIMULATION; HIPPOCAMPUS; INFORMATION STORAGE AND RETRIEVAL; MEMORY; MODELS, NEUROLOGICAL; NERVE NET; NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; PROSTHESES AND IMPLANTS; RATS; RATS, LONG-EVANS;

EID: 84863760304     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2012.2190942     Document Type: Article

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