Construction and analysis of non-Gaussian spatial models of neural spiking activity

Neurocomputing

Volumn 44-46, Issue , 2002, Pages 309-314

  Barbieri, Riccardo ^a,d   Frank, Loren M ^a   Quirk, Michael C ^b   Solo, Victor ^c   Wilson, Matthew A ^b   Brown, Emery N ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c University of New Sourth Wales   (Australia)

^d MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

Hippocampal place cells; Inhomogeneous poisson process; Interspike interval distribution; Zernike polynomials

Indexed keywords

CELLS; POLYNOMIALS;

SPIKING ACTIVITY;

NEUROLOGY;

ACCURACY; ANIMAL CELL; ANIMAL EXPERIMENT; ARTICLE; BAYES THEOREM; BRAIN NERVE CELL; CONTROLLED STUDY; FORAGING; HIPPOCAMPUS; MATHEMATICAL MODEL; NONHUMAN; NORMAL DISTRIBUTION; OPEN FIELD TEST; POISSON DISTRIBUTION; PRIORITY JOURNAL; PROBABILITY; RAT; SPIKE WAVE; STIMULUS RESPONSE;

EID: 0036063962     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(02)00365-X     Document Type: Article

References (6)

1. Construction and analysis of non-Poisson stimulus-response models of neural spiking activity
2. A statistical paradigm for neural spike train decoding applied to position prediction from ensemble firing patterns of rat hippocampal place cells
3. The hippocampus as a spatial map: Preliminary evidence from unit activity in the freely-moving rat
4. Dynamics of the hippocampal ensemble code for space