Efficient network reconstruction from dynamical cascades identifies small-world topology of neuronal avalanches

PLoS Computational Biology

Volumn 5, Issue 1, 2009, Pages

  Pajevic, Sinisa ^a   Plenz, Dietmar ^b  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BARIUM COMPOUNDS; BAYESIAN NETWORKS; CORRELATION METHODS; DISTRIBUTED COMPUTER SYSTEMS; ITERATIVE METHODS; NETWORK TOPOLOGY; NEURAL NETWORKS; NEURONS;

DIRECTED INTERACTIONS; DISEASE SPREADING; FUNCTIONAL NETWORK; METABOLIC NETWORK; NETWORK RECONSTRUCTION; NEURONAL AVALANCHES; NEURONAL NETWORKS; SMALL WORLD TOPOLOGY; SYSTEMS ORGANIZATION; WEIGHTED AVERAGING;

NETWORK ARCHITECTURE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BRAIN CORTEX; CELL CULTURE; CONTROLLED STUDY; MOLECULAR DYNAMICS; NERVE CELL NETWORK; ALGORITHM; ANIMAL; BIOLOGICAL MODEL; BIOLOGY; METHODOLOGY; NERVE CELL; NONPARAMETRIC TEST; PHYSIOLOGY; RAT; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; BAYES THEOREM; CEREBRAL CORTEX; COMPUTATIONAL BIOLOGY; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE NET; NEURONS; RATS; STATISTICS, NONPARAMETRIC;

EID: 59149098766     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000271     Document Type: Article

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