Gain Control Network Conditions in Early Sensory Coding

PLoS Computational Biology

Volumn 9, Issue 7, 2013, Pages

  Serrano, Eduardo ^a   Nowotny, Thomas ^b   Levi, Rafael ^a,c   Smith, Brian H ^d   Huerta, Ramón ^e  

^a UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

^b UNIVERSITY OF SUSSEX   (United Kingdom)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d ARIZONA STATE UNIVERSITY   (United States)

^e UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NETWORK CODING; NEURONS;

CONDITION; CONTROL NETWORK; EFFECTIVE GAIN; INPUT CURRENT; MEAN FIELD APPROXIMATION; NETWORK CONDITION; OLFACTORY SYSTEMS; RANDOMLY CONNECTED NETWORKS; SENSORY CODING; SENSORY SYSTEM;

GAIN CONTROL;

ALGORITHM; ARTICLE; CELL COUNT; HODGKIN HUXLEY EQUATION; MATHEMATICAL MODEL; NERVE CELL INHIBITION; NERVE CELL MEMBRANE POTENTIAL; NERVE CELL NETWORK; NERVE CELL STIMULATION; NEUROMODULATION; SENSORY STIMULATION; SYNAPTIC POTENTIAL; SYNAPTIC TRANSMISSION; VALIDATION PROCESS;

HEXAPODA;

EID: 84880817501     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003133     Document Type: Article

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