Power-Law Input-Output Transfer Functions Explain the Contrast-Response and Tuning Properties of Neurons in Visual Cortex

Open Access

Peer-reviewed

Research Article

Erez Persi,

Affiliation Laboratoire de Neurophysique et Physiologie, Université Paris Descartes, Paris, France
⨯
David Hansel,

Affiliations Laboratoire de Neurophysique et Physiologie, Université Paris Descartes, Paris, France, Interdisciplinary Center for Neural Computation, The Hebrew University, Jerusalem, Israel
⨯
Lionel Nowak,

Affiliation Cerco, Université Toulouse 3, CNRS, Toulouse, France
⨯
Pascal Barone,

Affiliation Cerco, Université Toulouse 3, CNRS, Toulouse, France
⨯
Carl van Vreeswijk

* E-mail: cornelis.van-vreeswijk@parisdescartes.fr

Affiliation Laboratoire de Neurophysique et Physiologie, Université Paris Descartes, Paris, France
⨯

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Neurons
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Neuronal tuning
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Transfer functions
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Neural networks
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Action potentials
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Network analysis
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Single neuron function
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Visual cortex
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