Bayesian nonparametric modeling for comparison of single-neuron firing intensities

Biometrics

Volumn 66, Issue 1, 2010, Pages 277-286

  Kottas, Athanasios ^a   Behseta, Sam ^b  

^a University of California   (United States)

^b CALIFORNIA STATE UNIVERSITY   (United States)

Author keywords

Beta mixtures; Dirichlet process; Neuronal data; Nonhomogeneous Poisson process; Primary motor cortex area

Indexed keywords

POISSON DISTRIBUTION;

BAYESIAN NONPARAMETRIC MODELING; BETA MIXTURE; CONDITION; CORTEX AREAS; DIRICHLET PROCESS; FIRING PATTERNS; NEURONAL DATA; NON-HOMOGENEOUS POISSON PROCESS; PRIMARY MOTOR CORTEX; PRIMARY MOTOR CORTEX AREA;

NEURONS;

BAYESIAN ANALYSIS; BRAIN; DATA ACQUISITION; EXPERIMENTAL STUDY; MODEL TEST; NEUROLOGY; PARAMETERIZATION; PRIMATE;

ACTION POTENTIAL; ANIMAL; BAYES THEOREM; BIOLOGICAL MODEL; BIOMETRY; EVOKED MUSCLE RESPONSE; HAPLORHINI; HUMAN; MOTOR CORTEX; MOVEMENT (PHYSIOLOGY); NERVE CELL; PHYSIOLOGY; PROCEDURES; STATISTICAL MODEL;

ACTION POTENTIALS; ANIMALS; BAYES THEOREM; BIOMETRY; EVOKED POTENTIALS, MOTOR; HAPLORHINI; HUMANS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; MOTOR CORTEX; MOVEMENT; NEURONS;

EID: 77949668401     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01230.x     Document Type: Article

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