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Attentional effects on local V1 microcircuits explain selective V1-V4 communication

Katsanevaki, Christini; Bastos, André M; Cagnan, Hayriye; Bosman, Conrado A; Friston, Karl J; Fries, Pascal; (2023) Attentional effects on local V1 microcircuits explain selective V1-V4 communication. NeuroImage , 281 , Article 120375. 10.1016/j.neuroimage.2023.120375. Green open access

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Abstract

Selective attention implements preferential routing of attended stimuli, likely through increasing the influence of the respective synaptic inputs on higher-area neurons. As the inputs of competing stimuli converge onto postsynaptic neurons, presynaptic circuits might offer the best target for attentional top-down influences. If those influences enabled presynaptic circuits to selectively entrain postsynaptic neurons, this might explain selective routing. Indeed, when two visual stimuli induce two gamma rhythms in V1, only the gamma induced by the attended stimulus entrains gamma in V4. Here, we modeled induced responses with a Dynamic Causal Model for Cross-Spectral Densities and found that selective entrainment can be explained by attentional modulation of intrinsic V1 connections. Specifically, local inhibition was decreased in the granular input layer and increased in the supragranular output layer of the V1 circuit that processed the attended stimulus. Thus, presynaptic attentional influences and ensuing entrainment were sufficient to mediate selective routing.

Type: Article
Title: Attentional effects on local V1 microcircuits explain selective V1-V4 communication
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neuroimage.2023.120375
Publisher version: https://doi.org/10.1016/j.neuroimage.2023.120375
Language: English
Additional information: Copyright © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
Keywords: Attention, Dynamic Causal Modeling (DCM), gamma, macaque, visual cortex
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10177603
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