Fast inference of interactions in assemblies of stochastic integrate-and-fire neurons from spike recordings

Journal of Computational Neuroscience

Volumn 31, Issue 2, 2011, Pages 199-227

  Monasson, Remi ^a,b   Cocco, Simona ^a,b  

^a CNRS   (France)

^b INSTITUTE FOR ADVANCED STUDY   (United States)

Author keywords

Interactions; Multi electrode recordings; Retinal Ganglion cells; Statistical inference and inverse problems; Stochastic integrate and fire model

Indexed keywords

INVERSE PROBLEMS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

INTEGRATE-AND-FIRE MODEL; INTEGRATE-AND-FIRE NEURONS; INTERACTION; MOST LIKELY; MULTI-ELECTRODE RECORDINGS; RETINAL GANGLION CELLS; STATISTICAL INFERENCE; STATISTICAL INFERENCE AND INVERSE PROBLEM; STOCHASTIC INTEGRATE-AND-FIRE MODEL; STOCHASTICS;

NEURONS;

ALGORITHM; ARTICLE; BAYES THEOREM; CELL INTERACTION; CONTROLLED STUDY; INTRACELLULAR RECORDING; MATHEMATICAL COMPUTING; NERVE CELL MEMBRANE POTENTIAL; NERVE CELL NETWORK; NOISE REDUCTION; PRIORITY JOURNAL; RETINA GANGLION CELL; SENSORY NERVE CONDUCTION; SPIKE WAVE; STOCHASTIC MODEL; SYNAPTIC TRANSMISSION; VISUAL STIMULATION;

EID: 83055180083     PISSN: 09295313     EISSN: 15736873     Source Type: Journal    
DOI: 10.1007/s10827-010-0306-8     Document Type: Article

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