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High gamma power is phase-locked to theta oscillations in human neocortex.

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TLDR
The results indicate that transient coupling between low- and high-frequency brain rhythms coordinates activity in distributed cortical areas, providing a mechanism for effective communication during cognitive processing in humans.
Abstract
We observed robust coupling between the high- and low-frequency bands of ongoing electrical activity in the human brain. In particular, the phase of the low-frequency theta (4 to 8 hertz) rhythm modulates power in the high gamma (80 to 150 hertz) band of the electrocorticogram, with stronger modulation occurring at higher theta amplitudes. Furthermore, different behavioral tasks evoke distinct patterns of theta/high gamma coupling across the cortex. The results indicate that transient coupling between low- and high-frequency brain rhythms coordinates activity in distributed cortical areas, providing a mechanism for effective communication during cognitive processing in humans.

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Updating P300: An Integrative Theory of P3a and P3b

TL;DR: The empirical and theoretical development of the P300 event-related brain potential is reviewed by considering factors that contribute to its amplitude, latency, and general characteristics.
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The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes

TL;DR: High-density recordings of field activity in animals and subdural grid recordings in humans can provide insight into the cooperative behaviour of neurons, their average synaptic input and their spiking output, and can increase the understanding of how these processes contribute to the extracellular signal.
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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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About sleep's role in memory

TL;DR: This review aims to comprehensively cover the field of "sleep and memory" research by providing a historical perspective on concepts and a discussion of more recent key findings.
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Large-scale brain networks in cognition: emerging methods and principles

TL;DR: It is argued that the emerging science of large-scale brain networks provides a coherent framework for understanding of cognition that allows a principled exploration of how cognitive functions emerge from, and are constrained by, core structural and functional networks of the brain.
References
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Journal ArticleDOI

Neurophysiological investigation of the basis of the fMRI signal

TL;DR: These findings suggest that the BOLD contrast mechanism reflects the input and intracortical processing of a given area rather than its spiking output, and that LFPs yield a better estimate of BOLD responses than the multi-unit responses.
Journal ArticleDOI

Neuronal Oscillations in Cortical Networks

TL;DR: 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.
Journal ArticleDOI

A mechanism for cognitive dynamics: neuronal communication through neuronal coherence

TL;DR: It is hypothesized that neuronal communication is mechanistically subserved by neuronal coherence, and a flexible pattern of coherence defines a flexible communication structure, which subserves the authors' cognitive flexibility.
Book

Electric Fields of the Brain: The Neurophysics of Eeg

Paul L. Nunez, +1 more
TL;DR: In this article, the authors present an overview of the physics-EEG interface, including the physics of electromagnetic fields and EEG, as well as EEG-based recording strategies, reference issues, and dipole localization.
Journal ArticleDOI

Electric Fields of the Brain: The Neurophysics of EEG

Joseph Fermaglich
- 02 Apr 1982 - 
TL;DR: In their book the authors present mathematical, physical, physiological, engineering, and medical facts in an effort to diminish a communication gap amongst electroencephalographers, engineers, and physicists.
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