Information-geometric measure of 3-neuron firing patterns characterizes scale-dependence in cortical networks

Journal of Computational Neuroscience

Volumn 30, Issue 1, 2011, Pages 125-141

  Ohiorhenuan, Ifije E ^a   Victor, Jonathan D ^a  

^a WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

Information geometry; Maximum entropy; Multineuron; Pairwise model; Synchrony

Indexed keywords

MAXIMUM ENTROPY METHODS; NEURAL NETWORKS; NEURONS;

CORTICAL NETWORK; FIRING PATTERNS; GEOMETRIC MEASURES; INFORMATION GEOMETRY; KULLBACK LEIBLER DIVERGENCE; MAXIMUM-ENTROPY; MULTINEURON; NEURON FIRING; PAIRWISE MODEL; SYNCHRONY;

GEOMETRY;

ACTION POTENTIAL; ANIMAL EXPERIMENT; ARTICLE; BRAIN CORTEX; CELL INTERACTION; CONTROLLED STUDY; ENTROPY; GEOMETRY; MACACA; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; NERVE CELL; NERVE CELL NETWORK; NERVE STIMULATION; NONHUMAN; ORIENTATION; PRIORITY JOURNAL; STRIATE CORTEX;

EID: 79952281329     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-010-0257-0     Document Type: Article

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