Efficient model-based design of neurophysiological experiments

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 599-602

  Lewi, Jeremy ^a   Butera, Robert ^b,c   Paninski, Liam ^d  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b IEEE   (United States)

^c GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^d Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HIGH-DIMENSIONAL STIMULUS; RANDOM SAMPLING;

ADAPTIVE ALGORITHMS; COMPUTER SIMULATION; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION;

NEUROPHYSIOLOGY;

ACTION POTENTIAL; ANIMAL; ARTICLE; BIOLOGICAL MODEL; HUMAN; METHODOLOGY; NERVE CELL; NERVE CELL NETWORK; NEUROPHYSIOLOGY; PHYSIOLOGY; STATISTICAL MODEL; STATISTICS; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ANIMALS; HUMANS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE NET; NEURONS; NEUROPHYSIOLOGY; RESEARCH DESIGN; STOCHASTIC PROCESSES; SYNAPTIC TRANSMISSION;

EID: 34047186428     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260690     Document Type: Conference Paper

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