Distributed synchrony in an attractor of spiking neurons

David Horn; Nir Levy; Eytan Ruppin

doi:10.1016/S0925-2312(00)00193-4

Distributed synchrony in an attractor of spiking neurons

David Horn^*, Nir Levy, Eytan Ruppin

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

Abstract

Recently, it has been shown that there exists a temporal synaptic learning curve, composed of potentiation for short time delays between pre- and post-synaptic neuronal spiking, and depression for spiking events occurring in the opposite order. We investigate the effect that such a curve can have on the temporal realization of an attractor in an associative memory network of spiking neurons. We find that an interesting result of this learning paradigm is the formation of distributed synchrony, i.e. spontaneous division of the Hebbian cell assembly into groups of cells that fire in a cyclic manner. (C) 2000 Elsevier Science B.V. All rights reserved.

Original language	English
Pages (from-to)	409-414
Number of pages	6
Journal	Neurocomputing
Volume	32-33
DOIs	https://doi.org/10.1016/S0925-2312(00)00193-4
State	Published - Jun 2000
Event	The 8th Annual Computational Neuroscience Meeting (CNS'99) - Pittsburgh, PA, USA Duration: 18 Jul 1999 → 22 Jul 1999

Keywords

Distributed synchrony
Hebbian cell assembly
Spiking neurons
Temporal synaptic learning curve

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10.1016/S0925-2312(00)00193-4

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title = "Distributed synchrony in an attractor of spiking neurons",

abstract = "Recently, it has been shown that there exists a temporal synaptic learning curve, composed of potentiation for short time delays between pre- and post-synaptic neuronal spiking, and depression for spiking events occurring in the opposite order. We investigate the effect that such a curve can have on the temporal realization of an attractor in an associative memory network of spiking neurons. We find that an interesting result of this learning paradigm is the formation of distributed synchrony, i.e. spontaneous division of the Hebbian cell assembly into groups of cells that fire in a cyclic manner. (C) 2000 Elsevier Science B.V. All rights reserved.",

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author = "David Horn and Nir Levy and Eytan Ruppin",

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doi = "10.1016/S0925-2312(00)00193-4",

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AU - Horn, David

AU - Levy, Nir

AU - Ruppin, Eytan

PY - 2000/6

Y1 - 2000/6

N2 - Recently, it has been shown that there exists a temporal synaptic learning curve, composed of potentiation for short time delays between pre- and post-synaptic neuronal spiking, and depression for spiking events occurring in the opposite order. We investigate the effect that such a curve can have on the temporal realization of an attractor in an associative memory network of spiking neurons. We find that an interesting result of this learning paradigm is the formation of distributed synchrony, i.e. spontaneous division of the Hebbian cell assembly into groups of cells that fire in a cyclic manner. (C) 2000 Elsevier Science B.V. All rights reserved.

AB - Recently, it has been shown that there exists a temporal synaptic learning curve, composed of potentiation for short time delays between pre- and post-synaptic neuronal spiking, and depression for spiking events occurring in the opposite order. We investigate the effect that such a curve can have on the temporal realization of an attractor in an associative memory network of spiking neurons. We find that an interesting result of this learning paradigm is the formation of distributed synchrony, i.e. spontaneous division of the Hebbian cell assembly into groups of cells that fire in a cyclic manner. (C) 2000 Elsevier Science B.V. All rights reserved.

KW - Distributed synchrony

KW - Hebbian cell assembly

KW - Spiking neurons

KW - Temporal synaptic learning curve

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VL - 32-33

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JO - Neurocomputing

JF - Neurocomputing

Y2 - 18 July 1999 through 22 July 1999

ER -

Distributed synchrony in an attractor of spiking neurons

Abstract

Keywords

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