Cited by 284Neural dynamics and brain functionNonlinear Dynamics and Pattern FormationMemory and Neural Mechanisms

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Network Oscillations: Emerging Computational Principles

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Sejnowski, Terrence J., Paulsen, Ole·2006·The Journal of Neuroscience

DOI 10.1523/jneurosci.3737-05d.2006PMC PMC2915831

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Abstract

Despite extensive work on the behavioral and physiological correlates of brain rhythms, it is still unresolved whether they have any important function in the mammalian cerebral cortex. In particular, there is no consensus on whether there are general computational roles for network oscillations.

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Authors: Sejnowski, T. J., & Paulsen, O.
Affiliations: Salk Institute for Biological Studies (US)
ORCID: Paulsen, Ole
Venue: The Journal of Neuroscience
Publisher: Society for Neuroscience
Published: 2006-02-08
Volume: 26
Issue: 6
Pages: 1673-1676
ISSN: 0270-6474 (ISSN-L)
1529-2401
DOI: 10.1523/jneurosci.3737-05d.2006
PMC: PMC2915831
OpenAlex: W1970798847
Cited by: 284
References: 51
Citations by year: 2026: 1 · 2025: 7 · 2024: 7 · 2023: 11 · 2022: 14 · 2021: 4 · 2020: 13 · 2019: 12 · 2018: 11 · 2017: 13 · 2016: 6 · 2015: 22 · 2014: 9 · 2013: 14 · 2012: 12
FWCI: 2.23
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by-nc-sa
creativecommons.org/licenses/by-nc-sa/4.0/ (vor, 181 d)
Locations: Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
Europe PMC (PubMed Central) (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Funders: Howard Hughes Medical Institute
Wellcome Trust
Directorate for Biological Sciences
Biotechnology and Biological Sciences Research Council
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Nonlinear Dynamics and Pattern Formation
Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords: network oscillations, neural oscillations, computational principles, cerebral cortex
MeSH terms: Animals, Brain, Hippocampus, Humans, Learning, Memory, Models, Neurological, Nerve Net, Oscillometry, Reproducibility of Results

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