Dynamic circuit motifs underlying rhythmic gain control, gating and integration

Womelsdorf, Thilo; Valiante, Taufik A; Sahin, Ned T; Miller, Kai J; Tiesinga, Paul

doi:10.1038/nn.3764

Cited by 341Neural dynamics and brain functionNeuroscience and Neuropharmacology ResearchMemory and Neural Mechanisms

Dynamic circuit motifs underlying rhythmic gain control, gating and integration

Womelsdorf, Thilo, Valiante, Taufik A, Sahin, Ned T, Miller, Kai J, Tiesinga, Paul·2014·Nature Neuroscience

DOI 10.1038/nn.3764

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Abstract

Brain circuitry processes information by rapidly and selectively engaging functional neuronal networks. The dynamic formation of networks is often evident in rhythmically synchronized neuronal activity and tightly correlates with perceptual, cognitive and motor performances. But how synchronized neuronal activity contributes to network formation and how it relates to the computation of behaviorally relevant information has remained difficult to discern. Here we structure recent empirical advances that link synchronized activity to the activation of so-called dynamic circuit motifs. These motifs explicitly relate (1) synaptic and cellular properties of circuits to (2) identified timescales of rhythmic activation and to (3) canonical circuit computations implemented by rhythmically synchronized circuits. We survey the ubiquitous evidence of specific cell and circuit properties underlying synchronized activity across theta, alpha, beta and gamma frequency bands and show that their activation likely implements gain control, context-dependent gating and state-specific integration of synaptic inputs. This evidence gives rise to the dynamic circuit motifs hypothesis of synchronized activation states, with its core assertion that activation states are linked to uniquely identifiable local circuit structures that are recruited during the formation of functional networks to perform specific computational operations.

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The results suggest that modulation of interareal synchronization at distinct frequencies is a central mechanism in communicating specific predicted versus unpredicted information.
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Background

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Authors: Womelsdorf, T., Valiante, T. A., Sahin, N. T., Miller, K. J., & Tiesinga, P.
Affiliations: York University (CA)
University of Toronto (CA)
Harvard University (US)
University of Washington (US)
Radboud University Nijmegen (NL)
Corresponding author: Womelsdorf, Thilo
ORCID: Womelsdorf, Thilo
Valiante, Taufik A
Sahin, Ned T
Miller, Kai J
Tiesinga, Paul
Venue: Nature Neuroscience
Publisher: Springer Science and Business Media LLC
Published: 2014-07-28
Volume: 17
Issue: 8
Pages: 1031-1039
ISSN: 1097-6256 (ISSN-L)
1546-1726
DOI: 10.1038/nn.3764
OpenAlex: W2139847983
Cited by: 341
References: 123
Citations by year: 2026: 13 · 2025: 21 · 2024: 27 · 2023: 23 · 2022: 18 · 2021: 28 · 2020: 43 · 2019: 37 · 2018: 22 · 2017: 46 · 2016: 27 · 2015: 30 · 2014: 6
FWCI: 3.42
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Nature Neuroscience (publishedVersion)
PubMed (publishedVersion)
Radboud Repository (Radboud University) (submittedVersion)
Funders: Canadian Institutes of Health Research
National Institute of Mental Health (T32MH070328)
National Institute of Neurological Disorders and Stroke (R01NS044623, R01NS018741)
National Center for Research Resources (P41RR014075)
Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD18381, R01HD018381)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords: rhythmic neural activity, neuronal synchronization, gain control, synaptic integration, theta oscillations, alpha oscillations, beta oscillations, gamma oscillations, neuronal network formation
MeSH terms: Animals, Brain, Humans, Nerve Net, Neural Pathways, Periodicity, Brain Waves

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Dynamic circuit motifs underlying rhythmic gain control, gating and integration

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