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Dynamic predictions

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Dynamic predictions : oscillations and synchrony in top-down processing. / Engel, A K; Fries, P; Singer, W.

in: NAT REV NEUROSCI, Jahrgang 2, Nr. 10, 01.10.2001, S. 704-16.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Engel, AK, Fries, P & Singer, W 2001, 'Dynamic predictions: oscillations and synchrony in top-down processing', NAT REV NEUROSCI, Jg. 2, Nr. 10, S. 704-16. https://doi.org/10.1038/35094565

APA

Engel, A. K., Fries, P., & Singer, W. (2001). Dynamic predictions: oscillations and synchrony in top-down processing. NAT REV NEUROSCI, 2(10), 704-16. https://doi.org/10.1038/35094565

Vancouver

Engel AK, Fries P, Singer W. Dynamic predictions: oscillations and synchrony in top-down processing. NAT REV NEUROSCI. 2001 Okt 1;2(10):704-16. https://doi.org/10.1038/35094565

Bibtex

@article{5876b7b0a9fb4193926f707726615fa2,
title = "Dynamic predictions: oscillations and synchrony in top-down processing",
abstract = "Classical theories of sensory processing view the brain as a passive, stimulus-driven device. By contrast, more recent approaches emphasize the constructive nature of perception, viewing it as an active and highly selective process. Indeed, there is ample evidence that the processing of stimuli is controlled by top-down influences that strongly shape the intrinsic dynamics of thalamocortical networks and constantly create predictions about forthcoming sensory events. We discuss recent experiments indicating that such predictions might be embodied in the temporal structure of both stimulus-evoked and ongoing activity, and that synchronous oscillations are particularly important in this process. Coherence among subthreshold membrane potential fluctuations could be exploited to express selective functional relationships during states of expectancy or attention, and these dynamic patterns could allow the grouping and selection of distributed neuronal responses for further processing.",
keywords = "Animals, Brain, Haplorhini, Humans, Mental Processes, Models, Neurological, Motor Activity, Neurons, Oscillometry, Pattern Recognition, Visual, Time Factors, Visual Cortex",
author = "Engel, {A K} and P Fries and W Singer",
year = "2001",
month = oct,
day = "1",
doi = "10.1038/35094565",
language = "English",
volume = "2",
pages = "704--16",
journal = "NAT REV NEUROSCI",
issn = "1471-003X",
publisher = "NATURE PUBLISHING GROUP",
number = "10",

}

RIS

TY - JOUR

T1 - Dynamic predictions

T2 - oscillations and synchrony in top-down processing

AU - Engel, A K

AU - Fries, P

AU - Singer, W

PY - 2001/10/1

Y1 - 2001/10/1

N2 - Classical theories of sensory processing view the brain as a passive, stimulus-driven device. By contrast, more recent approaches emphasize the constructive nature of perception, viewing it as an active and highly selective process. Indeed, there is ample evidence that the processing of stimuli is controlled by top-down influences that strongly shape the intrinsic dynamics of thalamocortical networks and constantly create predictions about forthcoming sensory events. We discuss recent experiments indicating that such predictions might be embodied in the temporal structure of both stimulus-evoked and ongoing activity, and that synchronous oscillations are particularly important in this process. Coherence among subthreshold membrane potential fluctuations could be exploited to express selective functional relationships during states of expectancy or attention, and these dynamic patterns could allow the grouping and selection of distributed neuronal responses for further processing.

AB - Classical theories of sensory processing view the brain as a passive, stimulus-driven device. By contrast, more recent approaches emphasize the constructive nature of perception, viewing it as an active and highly selective process. Indeed, there is ample evidence that the processing of stimuli is controlled by top-down influences that strongly shape the intrinsic dynamics of thalamocortical networks and constantly create predictions about forthcoming sensory events. We discuss recent experiments indicating that such predictions might be embodied in the temporal structure of both stimulus-evoked and ongoing activity, and that synchronous oscillations are particularly important in this process. Coherence among subthreshold membrane potential fluctuations could be exploited to express selective functional relationships during states of expectancy or attention, and these dynamic patterns could allow the grouping and selection of distributed neuronal responses for further processing.

KW - Animals

KW - Brain

KW - Haplorhini

KW - Humans

KW - Mental Processes

KW - Models, Neurological

KW - Motor Activity

KW - Neurons

KW - Oscillometry

KW - Pattern Recognition, Visual

KW - Time Factors

KW - Visual Cortex

U2 - 10.1038/35094565

DO - 10.1038/35094565

M3 - SCORING: Journal article

C2 - 11584308

VL - 2

SP - 704

EP - 716

JO - NAT REV NEUROSCI

JF - NAT REV NEUROSCI

SN - 1471-003X

IS - 10

ER -