Statistical analyses support power law distributions found in neuronal avalanches

PLoS ONE

Volumn 6, Issue 5, 2011, Pages

  Klaus, Andreas ^a,b,c   Yu, Shan ^a   Plenz, Dietmar ^a  

^a NATIONAL INSTITUTE OF MENTAL HEALTH   (United States)

^b KAROLINSKA INSTITUTE   (Sweden)

^c Stockholm Brain Institute   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL CELL; ANIMAL TISSUE; ARTICLE; CONTROLLED STUDY; FINITE ELEMENT ANALYSIS; KOLMOGOROV SMIRNOV TEST; LAW; MAXIMUM LIKELIHOOD METHOD; NERVE CELL; NEURONAL AVALANCHE; NONHUMAN; POWER ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; ACTION POTENTIAL; ANIMAL; BIOLOGICAL MODEL; CLUSTER ANALYSIS; MACACA MULATTA; MALE; NERVE CELL NETWORK; PHYSIOLOGY;

ACTION POTENTIALS; ANIMALS; CLUSTER ANALYSIS; DATA INTERPRETATION, STATISTICAL; MACACA MULATTA; MALE; MODELS, NEUROLOGICAL; NERVE NET; NEURONS;

EID: 79957545106     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0019779     Document Type: Article

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