Analyzing short-term noise dependencies of spike-counts in macaque prefrontal cortex using copulas and the flashlight transformation

PLoS Computational Biology

Volumn 5, Issue 11, 2009, Pages

  Onken, Arno ^a,b   Grünewälder, Steffen ^c   Munk, Matthias H J ^d   Obermayer, Klaus ^a,b  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b BERNSTEIN CENTER FOR COMPUTATIONAL NEUROSCIENCE   (Germany)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

^d MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTION FUNCTIONS; MAXIMUM LIKELIHOOD; METADATA; NEURONS; NORMAL DISTRIBUTION; POISSON DISTRIBUTION; POPULATION DISTRIBUTION; POPULATION STATISTICS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

DEPENDENCE STRUCTURES; HIGH-ORDER; MARGINAL DISTRIBUTION; MULTIVARIATE DISTRIBUTIONS; NEGATIVE BINOMIAL DISTRIBUTION; NEURAL POPULATIONS; POISSON BINOMIAL DISTRIBUTIONS; PREFRONTAL CORTEX; SECOND ORDERS; SHORT TIME SCALE;

FLASHLIGHTS;

ANIMAL EXPERIMENT; ARTICLE; BINOMIAL DISTRIBUTION; CONTROLLED STUDY; FEMALE; MACACA; MATHEMATICAL MODEL; NERVE CONDUCTION; NONHUMAN; POISSON DISTRIBUTION; PREFRONTAL CORTEX; PROBABILITY; SIGNAL NOISE RATIO; SPIKE WAVE; STOCHASTIC MODEL; ACTION POTENTIAL; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; NERVE CELL NETWORK; PHYSIOLOGY; STATISTICAL MODEL;

ACTION POTENTIALS; ANIMALS; COMPUTER SIMULATION; FEMALE; MACACA MULATTA; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE NET; PREFRONTAL CORTEX;

EID: 73449094201     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000577     Document Type: Article

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