Design of optimal stimulation patterns for neuronal ensembles based on Volterra-type hierarchical modeling

Journal of Neural Engineering

Volumn 9, Issue 6, 2012, Pages

  Marmarelis, V Z ^a   Shin, D C ^a   Hampson, R E ^b   Deadwyler, S A ^b   Song, D ^a   Berger, T W ^a  

^a University of Southern California   (United States)

^b WAKE FOREST SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY PATTERNS; GENERAL METHODOLOGIES; HIERARCHICAL MODELING; ILLUSTRATIVE EXAMPLES; INPUT-OUTPUT DATA; MEMORY FORMATION; MODELING APPROACH; MULTI-UNIT; MULTI-UNIT ACTIVITY; MULTIELECTRODE ARRAYS; MULTIPLE INPUTS; OPTIMAL DESIGN; OPTIMAL STIMULATION; PREDICTIVE MODELS; SPECIFIC TASKS; STIMULATION PATTERN; VOLTERRA;

BRAIN; DIGITAL STORAGE; OPTIMIZATION;

NEURONS;

ANIMAL EXPERIMENT; CELL ACTIVITY; CONTROLLED STUDY; ELECTRODE IMPLANT; HIPPOCAMPAL CA1 REGION; HYPOTHESIS; MALE; MEMORY; MEMORY CONSOLIDATION; METHODOLOGY; NERVE CELL STIMULATION; NONHUMAN; PREDICTION; PRIORITY JOURNAL; PROCESS MODEL; RAT; REVIEW; TASK PERFORMANCE; VOLTERRA TYPE HIERARCHICAL MODELING;

ANIMALS; CA1 REGION, HIPPOCAMPAL; ELECTRIC STIMULATION; MALE; MODELS, NEUROLOGICAL; NEURONS; NONLINEAR DYNAMICS; RATS; RATS, LONG-EVANS;

RODENTIA;

EID: 84870417192     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/9/6/066003     Document Type: Review

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