Dense neuron clustering explains connectivity statistics in cortical microcircuits

PLoS ONE

Volumn 9, Issue 4, 2014, Pages

  Klinshov, Vladimir V ^a,b,c   Teramae, Jun Nosuke ^b,d,e   Nekorkin, Vladimir I ^a,c   Fukai, Tomoki ^b,e  

^a INSTITUTE OF APPLIED PHYSICS   (Russian Federation)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^c LOBACHEVSKY STATE UNIVERSITY OF NIZHNY NOVGOROD   (Russian Federation)

^d OSAKA UNIVERSITY   (Japan)

^e JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BRAIN FUNCTION; BRAIN NERVE CELL; CLUSTER ANALYSIS; CONTROLLED STUDY; CORRELATION ANALYSIS; EXCITATORY POSTSYNAPTIC POTENTIAL; MODEL; NEOCORTEX; NERVE CELL INHIBITION; NERVE CELL NETWORK; NONHUMAN; RAT; SIMULATION; SPIKE; SYNAPSE; SYNAPTIC TRANSMISSION; VISUAL CORTEX; ALGORITHM; ANIMAL; BIOLOGICAL MODEL; BRAIN CORTEX; NERVE CELL; PHYSIOLOGY;

ALGORITHMS; ANIMALS; CEREBRAL CORTEX; CLUSTER ANALYSIS; MODELS, NEUROLOGICAL; NERVE NET; NEURONS; RATS;

EID: 84899637811     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0094292     Document Type: Article

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