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Open AccessJournal ArticleDOI

Neuronal Oscillations in Cortical Networks

György Buzsáki, +1 more
- 25 Jun 2004 - 
- Vol. 304, Iss: 5679, pp 1926-1929
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TLDR
Recent findings indicate that network oscillations bias input selection, temporally link neurons into assemblies, and facilitate synaptic plasticity, mechanisms that cooperatively support temporal representation and long-term consolidation of information.
Abstract
Clocks tick, bridges and skyscrapers vibrate, neuronal networks oscillate. Are neuronal oscillations an inevitable by-product, similar to bridge vibrations, or an essential part of the brain’s design? Mammalian cortical neurons form behavior-dependent oscillating networks of various sizes, which span five orders of magnitude in frequency. These oscillations are phylogenetically preserved, suggesting that they are functionally relevant. Recent findings indicate that network oscillations bias input selection, temporally link neurons into assemblies, and facilitate synaptic plasticity, mechanisms that cooperatively support temporal representation and long-term consolidation of information.

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SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters

TL;DR: Taking into account the results of the simulations and real EEG recordings, SPoC represents an adequate approach for the optimal extraction of neuronal components showing coupling of power with continuously changing behaviorally relevant parameters.
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Temporal delays among place cells determine the frequency of population theta oscillations in the hippocampus

TL;DR: The results suggest that the faster-than-theta oscillations of pyramidal cells are inherent and that phase precession is a result of the coordinated activity of temporally shifted cell assemblies, relative to the population activity, reflected by the LFP.
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Graph analysis of EEG resting state functional networks in dyslexic readers

TL;DR: Group differences in the theta band for two graph metrics suggest reduced network integration and communication between network nodes in dyslexics compared to controls, adding to the growing body literature suggesting compromised networks rather than specific dysfunctional brain regions in Dyslexia.
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Emergence of Persistent Networks in Long-Term Intracranial EEG Recordings

TL;DR: It is suggested that a metastable, frequency-band-dependent scaffold of brain connectivity exists from which transient activity emerges and recedes, and that these structures are robust, emerging from brief time intervals regardless of cognitive state.
Journal ArticleDOI

Ketamine alters oscillatory coupling in the hippocampus

TL;DR: It is demonstrated that ketamine alters network interactions that underlie cognitively relevant theta-gamma coupling in the hippocampus of awake rats upon NMDA receptor blockade by ketamine, a pharmacological model of schizophrenia.
References
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疟原虫var基因转换速率变化导致抗原变异[英]/Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

宁北芳, +1 more
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Book

The Hippocampus as a Cognitive Map

John O'Keefe, +1 more
TL;DR: The amnesic syndrome is presented as an extension of the theory to humans and the role of operators in the locale system is examined.
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Exploring complex networks

TL;DR: This work aims to understand how an enormous network of interacting dynamical systems — be they neurons, power stations or lasers — will behave collectively, given their individual dynamics and coupling architecture.
Journal ArticleDOI

Self-organized criticality: An explanation of the 1/ f noise

TL;DR: It is shown that dynamical systems with spatial degrees of freedom naturally evolve into a self-organized critical point, and flicker noise, or 1/f noise, can be identified with the dynamics of the critical state.
Journal ArticleDOI

EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis

TL;DR: In this article, it is suggested to adjust the frequency windows of alpha and theta for each subject by using individual alpha frequency as an anchor point, based on this procedure, a consistent interpretation of a variety of findings is made possible.
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