A statistical description of neural ensemble dynamics

Frontiers in Computational Neuroscience

Volumn , Issue NOVEMBER, 2011, Pages 3-

  Long II, John D ^a   Carmena, Jose M ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Data analysis; KL divergence; Local field potential; Neural ensemble data; Spikes

Indexed keywords

ADAPTIVE QUANTIZATION TECHNIQUE; BAYESIAN ESTIMATORS; DATA SETS; DATA SPACE; FIRING RATES; KL-DIVERGENCE; LOCAL FIELD POTENTIALS; MULTI-CHANNEL; NEURAL ENSEMBLES; NEURAL RECORDINGS; PRIOR INFORMATION; SPIKES; STATISTICAL DESCRIPTIONS; TIME-SCALES; BAYESIAN STATISTICS;

ANIMALS; DATA REDUCTION; ELECTROPHYSIOLOGY; SIGNAL PROCESSING;

DYNAMICS;

ARTICLE; BAYES THEOREM; BEHAVIOR; LOCAL FIELD POTENTIAL; NERVE CELL NETWORK; NERVOUS SYSTEM FUNCTION; NEURAL ENSEMBLE DYNAMICS; NEURAL FIRING RATE; NEUROSCIENCE; SAMPLE SIZE; SIGNAL PROCESSING; SIMULATION; CHEMICAL BINDING; FIRING RATE; HUMAN; MODEL; NERVE CELL; NERVOUS SYSTEM; STATISTICS;

EID: 82955235737     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncom.2011.00052     Document Type: Article

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