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Disruption of frontal lobe neural synchrony during cognitive control by alcohol intoxication
Journal of Visualized Experiments, 2019Decision making relies on dynamic interactions of distributed, primarily frontal brain regions. Extensive evidence from functional magnetic resonance imaging (fMRI) studies indicates that the anterior cingulate (ACC) and the lateral prefrontal cortices ...
K. Marinković +4 more
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Neural synchrony correlates with surface segregation rules
Nature, 2000To analyse an image, the visual system must decompose the scene into its relevant parts. Identifying distinct surfaces is a basic operation in such analysis, and is believed to precede object recognition. Two superimposed gratings moving in different directions (plaid stimuli) may be perceived either as two surfaces, one being transparent and sliding ...
M, Castelo-Branco +3 more
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Elementary Neural Networks and Synchrony
2020All models discussed thus far were single cell models, but the brain has many cells that are coupled and exchange information. Connections of a few neurons can perform elementary functions, for instance filtering incoming action potential trains or detecting edges in images.
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Emergent synchrony in locally coupled neural oscillators
IEEE Transactions on Neural Networks, 1995The discovery of long range synchronous oscillations in the visual cortex has triggered much interest in understanding the underlying neural mechanisms and in exploring possible applications of neural oscillations. Many neural models thus proposed end up relying on global connections, leading to the question of whether lateral connections alone can ...
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Neural Synchrony and Dynamic Connectivity
Consciousness and Cognition, 1999openaire +2 more sources
The effects of interaction quality on neural synchrony during mother-child problem solving
Cortex, 2020Ezgi Kayhan +2 more
exaly
Synchrony driven neural variability
Neural variability is a defining feature of cortical activity, yet its mechanistic origins and functional consequences are not fully resolved. To better understand the subthreshold and spiking variability observed in neurons, we develop a theoretical framework based on a conductance-based model in which synaptic inputs activate in an all-or-none ...openaire +1 more source