Power-law input-output transfer functions explain the contrast-response and tuning properties of neurons in visual cortex

PLoS Computational Biology

Volumn 7, Issue 2, 2011, Pages

  Persi, Erez ^a   Hansel, David ^a,b   Nowak, Lionel ^c   Barone, Pascal ^c   van Vreeswijk, Carl ^a  

^a UNIVERSITÉ PARIS DESCARTES   (France)

^b HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^c Brain and Cognition Research Center in Toulouse   (France)

Author keywords

[No Author keywords available]

Indexed keywords

TRANSFER FUNCTIONS;

INPUT-OUTPUT TRANSFER FUNCTIONS; ORIENTATION-TUNING; POWER-LAW; PROPERTY; RESPONSE FUNCTIONS; RESPONSE PROPERTIES; SINGLE NEURON; TUNING CURVE; TUNING PROPERTIES; VISUAL CORTEXES;

NEURONS;

ANIMAL CELL; ANIMAL EXPERIMENT; ARTICLE; CELL FUNCTION; CELLULAR PARAMETERS; CONTRAST RESPONSE FUNCTION; CONTROLLED STUDY; CYTOLOGY; MATHEMATICAL MODEL; NERVE CELL; NERVE CELL NETWORK; NERVOUS SYSTEM CONDUCTANCE; NONHUMAN; SIMULATION; STRUCTURE ANALYSIS; TUNING CURVE; VISUAL CORTEX; ALGORITHM; ANIMAL; BIOLOGICAL MODEL; BIOLOGY; CALLITHRIX; CELL MEMBRANE POTENTIAL; PHYSIOLOGY; REPRODUCIBILITY; SYNAPSE;

ALGORITHMS; ANIMALS; CALLITHRIX; COMPUTATIONAL BIOLOGY; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; NEURONS; REPRODUCIBILITY OF RESULTS; SYNAPSES; VISUAL CORTEX;

EID: 79952461007     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1001078     Document Type: Article

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