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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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Rhythms of the body, rhythms of the brain: Respiration, neural oscillations, and embodied cognition.

TL;DR: It is argued that respiration sometimes plays a double, pragmatic and epistemic, role, which reduces the cognitive load in such cases, consistent with EC, the overall cognitive activity includes a loop-like interaction between neural and non-neural elements.
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Humans strategically shift decision bias by flexibly adjusting sensory evidence accumulation

TL;DR: These findings show that observers can intentionally control cortical excitability to strategically bias evidence accumulation toward the decision bound that maximizes reward.
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Pattern Motion Selectivity of Spiking Outputs and Local Field Potentials in Macaque Visual Cortex

TL;DR: This work shows that the majority of neurons in the medial superior temporal area (MST), which receives input from MT, have this pattern-selective property, and suggests a surprisingly strong link between the sensory tuning of cortical LFPs and afferent inputs.
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Detection of the onset of upper-limb movements based on the combined analysis of changes in the sensorimotor rhythms and slow cortical potentials

TL;DR: It is demonstrated that the two cortical processes supply complementary information that can be summed up to boost the performance of the detector and support the use of the proposed system in brain-computer interface applications with this group of patients.
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In Vitro Studies of Neuronal Networks and Synaptic Plasticity in Invertebrates and in Mammals Using Multielectrode Arrays

TL;DR: The microelectrode array technology and the optimization of the coupling between neurons and microtransducers to detect subthreshold synaptic signals are reviewed, and MEA studies of circuit formation and activity in invertebrate models such as Lymnaea, Aplysia, and Helix are reported.
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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