Subtractive, divisive and non-monotonic gain control in feedforward nets linearized by noise and delays

Frontiers in Computational Neuroscience

Volumn 8, Issue FEB, 2014, Pages

  Mejias, Jorge F ^a,b   Payeur, Alexandre ^a   Selin, Erik ^a   Maler, Leonard ^c   Longtin, André ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

^b NEW YORK UNIVERSITY   (United States)

^c UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Divisive; Feedforward network; Gain control; Linearization by delay; Non monotonic; Subtractive; Weakly electric fish

Indexed keywords

FISH; LINEARIZATION; MAPPING; NEURAL NETWORKS;

DIVISIVE; FEED-FORWARD NETWORK; NON-MONOTONIC; SUBTRACTIVE; WEAKLY ELECTRIC FISH;

GAIN CONTROL;

ANIMAL EXPERIMENT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROL SYSTEM; CONTROLLED STUDY; DIVISIVE GAIN CONTROL; FEEDBACK SYSTEM; IN VIVO STUDY; INHIBITION (PSYCHOLOGY); INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL PLASTICITY; NOISE; NONHUMAN; NONMONOTONIC GAIN CONTROL; PYRAMIDAL NERVE CELL; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SIGNAL TRANSDUCTION; SUBTRACTIVE GAIN CONTROL; SYNAPTIC POTENTIAL;

EID: 84907146178     PISSN: None     EISSN: 16625188     Source Type: Journal    
DOI: 10.3389/fncom.2014.00019     Document Type: Article

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