A Fluctuation-Driven Mechanism for Slow Decision Processes in Reverberant Networks

Open Access

Peer-reviewed

Research Article

Daniel Martí ,

* E-mail: daniel.marti@upf.edu

Affiliation Computational Neuroscience Unit, Universitat Pompeu Fabra, Barcelona, Spain
⨯
Gustavo Deco,

Affiliations Computational Neuroscience Unit, Universitat Pompeu Fabra, Barcelona, Spain, Institució Catalana d'Estudis Avançats (ICREA), Barcelona, Spain
⨯
Maurizio Mattia,

Affiliations Department of Technologies and Health, Istituto Superiore di Sanità, Roma, Italy, INFN, Sezione di Roma I, Roma, Italy
⨯
Guido Gigante,

Affiliation Department of Technologies and Health, Istituto Superiore di Sanità, Roma, Italy
⨯
Paolo Del Giudice

Affiliations Department of Technologies and Health, Istituto Superiore di Sanità, Roma, Italy, INFN, Sezione di Roma I, Roma, Italy
⨯

Reader Comments

where τAMPA = 2.0:ms, and the sum over k represents a sum over spikes emitted by presynaptic neuron j at time tk,j.
http://plosone.org/article/info:doi/10.1371/journal.pone.0002534#article1.body1.sec4.sec3.p2

The symbol "S" on the left hand side of the equation should be lowercase.

Neurons
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Neural networks
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Decision making
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Action potentials
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Phase diagrams
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Behavior
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Reaction time
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Statistical distributions
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