Cited by 83Neural dynamics and brain functionVisual perception and processing mechanismsNeuroscience and Neuropharmacology Research

Adaptation-induced synchronization in laminar cortical circuits

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Hansen, Bryan J., Dragoi, Valentin·2011·Proceedings of the National Academy of Sciences

Abstract

A fundamental feature of information processing in neocortex is the ability of individual neurons to adapt to changes in incoming stimuli. It is increasingly being understood that cortical adaptation is a phenomenon that requires network interactions. The fact that the structure of local networks depends critically on cortical layer raises the possibility that adaptation could induce specific effects in different layers. Here we show that brief exposure (300 ms) to a stimulus of fixed orientation modulates the strength of synchronization between individual neurons and local population activity in the gamma-band frequency (30–80 Hz) in macaque primary visual cortex (V1) and influences the ability of individual neurons to encode stimulus orientation. Using laminar probes, we found that although stimulus presentation elicits a large increase in the gamma synchronization of rhythmic neuronal activity in the input (granular) layers of V1, adaptation caused a pronounced increase in synchronization in the cortical output (supragranular) layers. The increase in gamma synchronization after adaptation was significantly correlated with an improvement in neuronal orientation discrimination performance only in the supragranular layers. Thus, synchronization between the spiking activity of individual neurons and their local population may enhance sensory coding to optimize network processing across laminar circuits.

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Crossref · 10.1073/pnas.1102017108

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  • In previous studies where stimulus repetition was not behaviorally relevant, gamma-band power and synchronization in visual cortex increased with repetition.

    “In previous studies where stimulus repetition was not behaviorally relevant, gamma-band power and synchronization in visual cortex increased with repetition, whereas we observed decreases (48, 49).”

    From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [49]

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Authors
Hansen, B. J., & Dragoi, V.
Affiliations
  • The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX 77030; and
  • Universidad Nacional Autónoma de México (MX)
Corresponding author
Dragoi, Valentin
Venue
Proceedings of the National Academy of Sciences
Published
2011-06-09
Volume
108
Issue
26
Pages
10720-10725
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2152120108
Cited by
83
References
50
Citations by year
2025: 3 · 2024: 5 · 2023: 4 · 2022: 4 · 2021: 7 · 2020: 8 · 2019: 5 · 2018: 6 · 2017: 4 · 2016: 5 · 2015: 7 · 2014: 6 · 2013: 5 · 2012: 11
FWCI
4.06
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • James S. McDonnell Foundation
  • National Institutes of Health
  • National Eye Institute
  • Eurostars
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
cortical adaptation, neuronal synchronization, gamma oscillations, primary visual cortex, supragranular layers, granular layer, orientation discrimination, sensory coding, macaque
MeSH terms
Action Potentials, Adaptation, Physiological, Animals, Cerebral Cortex, Electroencephalography, Macaca mulatta

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