Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex

By Timo van Kerkoerle, M. Self, Bruno Dagnino, Marie-Alice Gariel-Mathis, Jasper Poort, Chris van der Togt, Pieter R. Roelfsema. Proceedings of the National Academy of Sciences of the United States of America, 2014

907 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/064126c0da60f5b374edb012b802e7a8d1a64299

How researchers see this paper

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Working Memory 2.0 (2018, neutral): “This could also be a consequence of top-down signaling from higher cortical areas (van Kerkoerle et al., 2017).”
Cortical Information Flow During Flexible Sensorimotor Decisions (2015, neutral): “Offline, we extracted the continuous time-course of multi-unit spiking activity (MUA by filtering the broad-band signal between 500 Hz and 6 kHz (2-order zero-phase forward-reverse Butterworth filter), rectification, low-pass filtering at 250 Hz (2-order zero-phase forward-reverse Butterworth filter”
Prefrontal Cortex Networks Shift from External to Internal Modes during Learning (2016, background): “A growing body of evidence (Buschman and Miller, 2007; Buffalo et al., 2011; Schmiedt et al., 2014; van Kerkoerle et al., 2014; Bastos et al., 2015; Fries, 2015) suggests that in the visual cortex, feedback processing from higher-level to lower-level cortical areas is mediated by alpha/beta-band…”
Conscious Processing and the Global Neuronal Workspace Hypothesis (2020, background): “…gamma arising primarily in supragranular layers versus top-down alpha-beta arising primarily from bottom layers), which have been observed empirically across the cortical hierarchy in both human and non-human primates (Bastos et al., 2015; Michalareas et al., 2016; van Kerkoerle et al., 2014).”
Cortical travelling waves: mechanisms and computational principles (2018, result): “This is consistent with observations at single points in the visual cortex, where alpha and gamma oscillations weakly entrain spiking activity 101–103 , increasing and decreasing spike probability over the oscillation cycle.”
Alpha-beta and gamma rhythms subserve feedback and feedforward influences among human visual cortical areas (2016, positive): “Further, electrical stimulation of V1 induces enhanced gamma-band activity in V4, whereas area V4 stimulation induces enhanced alpha-beta-band activity in V1 (van Kerkoerle et al., 2014).”
Toward an Integration of Deep Learning and Neuroscience (2016, background): “Feedforwardandfeedbackpathwaysarealsodistinguisheddynamically,e.g.,bypropagating diﬀerentoscillatoryfrequencies(VanKerkoerleetal.,2014;Bastosetal.,2015),andmoleculary,e.g.,withNMDAreceptorsplayinganimportantroleinfeedback processing. such sub-networks might even be part of the same neuron and map…”
Switching between internal and external modes: A multiscale learning principle (2017, positive): “…& Da Silva, 1999), while increases in amplitude (and peaks of individual oscillatory cycles) appear to be associated with a more prior-driven, top-down (internal) mode of processing (Bastos et al., 2015; Halgren et al., 2015; Sherman, Kanai, Seth, & VanRullen, 2016; Van Kerkoerle et al., 2014).”