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Oren Shriki

Researcher at Ben-Gurion University of the Negev

Publications -  55
Citations -  1588

Oren Shriki is an academic researcher from Ben-Gurion University of the Negev. The author has contributed to research in topics: Magnetoencephalography & Artificial neural network. The author has an hindex of 18, co-authored 49 publications receiving 1201 citations. Previous affiliations of Oren Shriki include Government of the United States of America & National Institutes of Health.

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Neuronal Avalanches in the Resting MEG of the Human Brain

TL;DR: The results demonstrate that normal cortical activity in healthy human subjects at rest organizes as neuronal avalanches and is well described by a critical branching process, implying that the human brain attains an optimal dynamical regime for information processing.
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Rate models for conductance-based cortical neuronal networks

TL;DR: This work shows that conductance-based models of large cortical neuronal networks can be described by simplified rate models, provided that the network state does not possess a high degree of synchrony.
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Can We Predict Who Will Respond to Neurofeedback? A Review of the Inefficacy Problem and Existing Predictors for Successful EEG Neurofeedback Learning.

TL;DR: The use of personalized neurofeedback protocols are discussed as a potential way to reduce the inefficacy problem and possible psychological and neurophysiological predictors for successful treatment.
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Fading Signatures of Critical Brain Dynamics during Sustained Wakefulness in Humans

TL;DR: It is shown that signatures of criticality are progressively disturbed during wake and restored by sleep, which supports the intriguing hypothesis that sleep may be important to reorganize cortical network dynamics to a critical state thereby assuring optimal computational capabilities for the following time awake.
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Neuronal avalanches in the resting MEG of the human brain

TL;DR: In this paper, the authors analyzed resting-state brain activity recorded using noninvasive magnetoencephalography (MEG) from 124 healthy human subjects and two different MEG facilities using different sensor technologies.