A statistical paradigm for neural spike train decoding applied to position prediction from ensemble firing patterns of rat hippocampal place cells

Journal of Neuroscience

Volumn 18, Issue 18, 1998, Pages 7411-7425

  Brown, Emery N ^a   Frank, Loren M ^b   Tang, Dengda ^a   Quirk, Michael C ^b   Wilson, Matthew A ^b  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Bayesian statistics; Decoding algorithm; Hippocampal place cells; Information encoding; Inhomogeneous Poisson process; Nonlinear recursive filter; Point process; Random walk

Indexed keywords

ALGORITHM; ANIMAL TISSUE; ARTICLE; BAYES THEOREM; HIPPOCAMPUS; NERVE POTENTIAL; NEUROTRANSMISSION; NONHUMAN; PRIORITY JOURNAL; RAT; STATISTICAL ANALYSIS;

EID: 0032530363     PISSN: 02706474     EISSN: None     Source Type: Journal    
DOI: 10.1523/jneurosci.18-18-07411.1998     Document Type: Article

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