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

Network Oscillations: Emerging Computational Principles

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

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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Crossref · 10.1523/jneurosci.3737-05d.2006

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  1. Mel BW (1999) Why have dendrites? A computational perspective. In: Den- drites (Stuart G, Spruston N, Hausser M, eds), pp 271-289. Oxford: Ox- ford UP.

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Authors
Sejnowski, T. J., & Paulsen, O.
Affiliations
Salk Institute for Biological Studies (US)
Venue
The Journal of Neuroscience
Published
2006-02-08
Volume
26
Issue
6
Pages
1673-1676
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
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
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 › Computer Science › Computer Networks and Communications › 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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