Discrete time rescaling theorem: Determining goodness of fit for discrete time statistical models of neural spiking

Neural Computation

Volumn 22, Issue 10, 2010, Pages 2477-2506

  Haslinger, Robert ^a,b   Pipa, Gordon ^b,c,d   Brown, Emery ^a,b  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c MAX PLANCK INSTITUTE FOR BRAIN RESEARCH   (Germany)

^d FRANKFURT INSTITUTE FOR ADVANCED STUDIES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPUTER SIMULATION; HAPLORHINI; HUMAN; PHYSIOLOGY; POISSON DISTRIBUTION; REACTION TIME; REPRODUCIBILITY; STATISTICAL MODEL; STATISTICS; TIME;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; COMPUTER SIMULATION; HAPLORHINI; HUMANS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); POISSON DISTRIBUTION; REACTION TIME; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 78149322645     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00015     Document Type: Article

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