Rhythms For Cognition: Communication Through Coherence

By Pascal Fries. Neuron, 2015

2,465 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Plant Science, Sensory Systems

View Paper: https://www.semanticscholar.org/paper/e9c2040324f1badfa6548c4397ad34d14195392d

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Citations in the corpus

Alpha-beta and gamma rhythms subserve feedback and feedforward influences among human visual cortical areas (2016, neutral): “Yet, this does not contradict differential mechanisms and sub-functions of top-down influences (Fries, 2015).”
EEG microstates as a tool for studying the temporal dynamics of whole‐brain neuronal networks: A review (2017, background): “…among BOLD fluctuations in different brain regions (Biswal et al., 1995), while those involving electro- or magnetoencephalography (EEG/MEG) typically evaluate correlations among fluctuations i the amplitude of oscillatory activity in different brain regions (de Pasquale et al., 2010; Fries, 2015).”
Perceptual Cycles. (2016, background): “Oscillations could create temporal windows that favor communication between neurons [136,137].”
The Neurobiology of Human Attachments. (2017, positive): “In several recent studies, my colleagues and I detected the involvement of alpha (8–14 Hz) and gamma (30–60 Hz) rhythms in human bonding, the two frequencies defining top– down control mechanisms and bottom–up rapid processing, respectively, with gamma rhythms often integrating into alpha to create ”
The frontiers of insect cognition (2017, background): “Taking together the evidence from bees and flies, neural correlates of attentional processes have been found in almost all of the regions of the insect brain involved in visual processing and learning: mushroom bodies, central complex, anterior optic tubercle, lobula and medulla [22 ,27,28,29 ,30], ”
Cortical areas interact through a communication subspace (2019, neutral): “…to be modulated by the alignment of population activity with a relevant communication subspace has several advantages over a well-known alternative: defining interaction strength by the phase-alignment of spikes to ongoing oscillations (Fries, 2015) (termed “communication through coherence”, CTC).”
A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls (2016, background): “Under non-ideal circumstances, the phase difference spectrum is a complicated function of frequency, and using it alone to assign directionality is un-principled (Witham et al., 2011; Friston et al., 2012).”
Working Memory 2.0 (2018, neutral): “…what we suggested above, the idea is that top-down information carried by alpha and beta rhythms could inhibit the expression of bottom-up information carried by gamma rhythms and perhaps even regulate the precise patterns of gamma synchrony that enable corticocortical communication (Fries, 2015).”
The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance (2015, positive): “These experiments provide a sensitive method for non-invasively identifying timesensitive shifts in inter-areal synchrony, which has been proposed as a key mechanism for effective communication between distant neural regions (Fries, 2015; Varela et al., 2001).”
Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks (2017, background): “The role of phase-coupling at distinct frequencies has also been demonstrated in tasks at the large-scale, where task-relevant information is effectively transmitted through phase-locking between separate cortical regions (Palva et al., 2005; Hipp et al., 2011; Fries 2015; Fell and Axmacher, 2011).”
REBUS and the Anarchic Brain: Toward a Unified Model of the Brain Action of Psychedelics (2019, background): “Like alpha, the b rhythm has also been associated with a top-down function, albeit within the motor system (Fries, 2015).”