Uncovering spatial topology represented by rat hippocampal population neuronal codes

Journal of Computational Neuroscience

Volumn 33, Issue 2, 2012, Pages 227-255

  Chen, Zhe ^a,b   Kloosterman, Fabian ^b   Brown, Emery N ^a   Wilson, Matthew A ^b  

^a HARVARD MEDICAL SCHOOL   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Expectation maximization; Force based algorithm; Hidden Markov model; Place cells; Population codes; Spatial topology; Variational Bayesian inference

Indexed keywords

BAYESIAN NETWORKS; BRAIN; CODES (SYMBOLS); HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; INFERENCE ENGINES; MAXIMUM PRINCIPLE; NAVIGATION; NEURONS; POPULATION STATISTICS;

EXPECTATION MAXIMIZATION; FORCE-BASED; FORCE-BASED ALGORITHM; HIDDEN-MARKOV MODELS; NEURONAL CODES; PLACE CELL; POPULATION CODE; SPATIAL ENVIRONMENTS; SPATIAL TOPOLOGIES; VARIATIONAL BAYESIAN INFERENCES;

RATS;

EID: 84868194534     PISSN: 09295313     EISSN: 15736873     Source Type: Journal    
DOI: 10.1007/s10827-012-0384-x     Document Type: Article

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