Comparing integrate-and-fire models estimated using intracellular and extracellular data

Neurocomputing

Volumn 65-66, Issue SPEC. ISS., 2005, Pages 379-385

  Paninski, Liam ^a,b   Pillow, Jonathan ^b   Simoncelli, Eero ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

Integrate and fire; Noise; Stimulus response encoding

Indexed keywords

CELLS; ELECTRIC POTENTIAL; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; STATISTICS;

MAXIMUM-LIKELIHOOD (ML) METHOD; NEUROCOMPUTING; STIMULUS ENCODING MODELS;

NEUROLOGY;

ACTION POTENTIAL; ANIMAL CELL; ARTICLE; CELL STIMULATION; CONTROLLED STUDY; ELECTRIC POTENTIAL; IN VITRO STUDY; MAXIMUM LIKELIHOOD METHOD; NERVE CELL MEMBRANE POTENTIAL; NONHUMAN; PRIORITY JOURNAL; RAT; SENSORY STIMULATION; SPIKE; STATISTICAL ANALYSIS; STOCHASTIC MODEL;

EID: 18144381247     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.10.032     Document Type: Article

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