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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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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1724973029659770880 |