Synaptic plasticity controls sensory responses through frequency-dependent gamma oscillation resonance.

Synchronized gamma frequency oscillations in neural networks are thought to be important to sensory information processing, and their effects have been intensively studied. Here we describe a mechanism by which the nervous system can readily control gamma oscillation effects, depending selectively o...

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Main Authors: Se-Bum Paik, Donald A Glaser
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2010-01-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC2936516?pdf=render
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spelling doaj-ae73d272906644d3b542e4920b40c3c92020-11-25T01:57:42ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582010-01-016937638110.1371/journal.pcbi.1000927Synaptic plasticity controls sensory responses through frequency-dependent gamma oscillation resonance.Se-Bum PaikDonald A GlaserSynchronized gamma frequency oscillations in neural networks are thought to be important to sensory information processing, and their effects have been intensively studied. Here we describe a mechanism by which the nervous system can readily control gamma oscillation effects, depending selectively on visual stimuli. Using a model neural network simulation, we found that sensory response in the primary visual cortex is significantly modulated by the resonance between "spontaneous" and "stimulus-driven" oscillations. This gamma resonance can be precisely controlled by the synaptic plasticity of thalamocortical connections, and cortical response is regulated differentially according to the resonance condition. The mechanism produces a selective synchronization between the afferent and downstream neural population. Our simulation results explain experimental observations such as stimulus-dependent synchronization between the thalamus and the cortex at different oscillation frequencies. The model generally shows how sensory information can be selectively routed depending on its frequency components.http://europepmc.org/articles/PMC2936516?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Se-Bum Paik
Donald A Glaser
spellingShingle Se-Bum Paik
Donald A Glaser
Synaptic plasticity controls sensory responses through frequency-dependent gamma oscillation resonance.
PLoS Computational Biology
author_facet Se-Bum Paik
Donald A Glaser
author_sort Se-Bum Paik
title Synaptic plasticity controls sensory responses through frequency-dependent gamma oscillation resonance.
title_short Synaptic plasticity controls sensory responses through frequency-dependent gamma oscillation resonance.
title_full Synaptic plasticity controls sensory responses through frequency-dependent gamma oscillation resonance.
title_fullStr Synaptic plasticity controls sensory responses through frequency-dependent gamma oscillation resonance.
title_full_unstemmed Synaptic plasticity controls sensory responses through frequency-dependent gamma oscillation resonance.
title_sort synaptic plasticity controls sensory responses through frequency-dependent gamma oscillation resonance.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2010-01-01
description Synchronized gamma frequency oscillations in neural networks are thought to be important to sensory information processing, and their effects have been intensively studied. Here we describe a mechanism by which the nervous system can readily control gamma oscillation effects, depending selectively on visual stimuli. Using a model neural network simulation, we found that sensory response in the primary visual cortex is significantly modulated by the resonance between "spontaneous" and "stimulus-driven" oscillations. This gamma resonance can be precisely controlled by the synaptic plasticity of thalamocortical connections, and cortical response is regulated differentially according to the resonance condition. The mechanism produces a selective synchronization between the afferent and downstream neural population. Our simulation results explain experimental observations such as stimulus-dependent synchronization between the thalamus and the cortex at different oscillation frequencies. The model generally shows how sensory information can be selectively routed depending on its frequency components.
url http://europepmc.org/articles/PMC2936516?pdf=render
work_keys_str_mv AT sebumpaik synapticplasticitycontrolssensoryresponsesthroughfrequencydependentgammaoscillationresonance
AT donaldaglaser synapticplasticitycontrolssensoryresponsesthroughfrequencydependentgammaoscillationresonance
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