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Different frequencies for different scales of cortical integration: from local gamma to long range alpha/theta synchronization.

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TLDR
It is proposed that large scale integration is performed by synchronization among neurons and neuronal assemblies evolving in different frequency ranges, specifically involved in processing of internal mental context, i.e. for top-down processing.
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This article is published in International Journal of Psychophysiology.The article was published on 2000-12-01. It has received 1484 citations till now.

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EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

TL;DR: EELAB as mentioned in this paper is a toolbox and graphic user interface for processing collections of single-trial and/or averaged EEG data of any number of channels, including EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), Independent Component Analysis (ICA) and time/frequency decomposition including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling.
Journal ArticleDOI

Dynamic predictions: Oscillations and synchrony in top–down processing

TL;DR: It is argued that coherence among subthreshold membrane potential fluctuations could be exploited to express selective functional relationships during states of expectancy or attention, and these dynamic patterns could allow the grouping and selection of distributed neuronal responses for further processing.
Journal ArticleDOI

Alpha-band oscillations, attention, and controlled access to stored information

TL;DR: It is suggested that alpha-band oscillations have two roles that are closely linked to two fundamental functions of attention (suppression and selection), which enable controlled knowledge access and semantic orientation (the ability to be consciously oriented in time, space, and context).
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Mechanisms of Gamma Oscillations

TL;DR: The cellular and synaptic mechanisms underlying gamma oscillations are reviewed and empirical questions and controversial conceptual issues are outlined, finding that gamma-band rhythmogenesis is inextricably tied to perisomatic inhibition.
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Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices.

TL;DR: The result indicates that top-down and bottom-up signals arise from the frontal and sensory cortex, respectively, and different modes of attention may emphasize synchrony at different frequencies.
References
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Journal ArticleDOI

Visual feature integration and the temporal correlation hypothesis

TL;DR: The mammalian visual system is endowed with a nearly infinite capacity for the recognition of patterns and objects, but to have acquired this capability the visual system must have solved what is a fundamentally combinatorial prob­ lem.
Journal ArticleDOI

Large-scale neurocognitive networks and distributed processing for attention, language, and memory

TL;DR: In this paper, the authors propose a model where complex behavior is mapped at the level of multifocal neural systems rather than specific anatomical sites, giving rise to brain-behavior relationships that are both localized and distributed.
Book

The Working Brain

Journal ArticleDOI

Perception's shadow: long-distance synchronization of human brain activity.

TL;DR: In this article, the authors show that only face perception induces a long-distance pattern of synchronization, corresponding to the moment of perception itself and to the ensuing motor response, and suggest that this desynchronization reflects a process of active uncoupling of the underlying neural ensembles that is necessary to proceed from one cognitive state to another.
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Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses

TL;DR: In this article, the authors examined whether the variability can be attributed to ongoing activity in the mammalian cortex and found that evoked responses in single trials could be predicted by linear summation of the deterministic response and preceding ongoing activity.
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