Parameter estimation for a leaky integrate-and-fire neuronal model from ISI data

Journal of Computational Neuroscience

Volumn 24, Issue 2, 2008, Pages 179-194

  Mullowney, Paul ^a,b   Iyengar, Satish ^c  

^a TECH X CORPORATION   (United States)

^b UNIVERSITY OF CANTERBURY   (New Zealand)

^c UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

Inverse Laplace transform; Ornstein Uhlenbeck process; Parameter inference

Indexed keywords

DISTRIBUTION FUNCTIONS; INVERSE PROBLEMS; LAPLACE TRANSFORMS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; STATISTICS;

FIRST PASSAGE TIME DISTRIBUTIONS; FIRST-PASSAGE; INTEGRATE-AND-FIRE NEURONAL MODELS; INVERSE LAPLACE TRANSFORM; ORNSTEIN-UHLENBECK PROCESS; PARAMETER ALGORITHMS; PARAMETER INFERENCE; PARAMETERS ESTIMATION; PROBABILITY DISTRIBUTION FUNCTIONS; SPONTANEOUS ACTIVITY;

NEURONS;

ARTICLE; CELL ACTIVITY; CONFIDENCE INTERVAL; CONTROLLED STUDY; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MAXIMUM LIKELIHOOD METHOD; NERVE CELL; NERVE CELL STIMULATION; PRIORITY JOURNAL; PROCESS MODEL; SPIKE WAVE; VARIANCE;

EID: 41249095433     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-007-0047-5     Document Type: Article

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