Cargando…
Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention
Even during sustained attention, enhanced processing of attended stimuli waxes and wanes rhythmically, with periods of enhanced and relatively diminished visual processing (and subsequent target detection) alternating at 4 or 8 Hz in a sustained visual attention task. These alternating attentional s...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129332/ https://www.ncbi.nlm.nih.gov/pubmed/36718998 http://dx.doi.org/10.7554/eLife.67684 |
_version_ | 1785030710210330624 |
---|---|
author | Aussel, Amélie Fiebelkorn, Ian C Kastner, Sabine Kopell, Nancy J Pittman-Polletta, Benjamin Rafael |
author_facet | Aussel, Amélie Fiebelkorn, Ian C Kastner, Sabine Kopell, Nancy J Pittman-Polletta, Benjamin Rafael |
author_sort | Aussel, Amélie |
collection | PubMed |
description | Even during sustained attention, enhanced processing of attended stimuli waxes and wanes rhythmically, with periods of enhanced and relatively diminished visual processing (and subsequent target detection) alternating at 4 or 8 Hz in a sustained visual attention task. These alternating attentional states occur alongside alternating dynamical states, in which lateral intraparietal cortex (LIP), the frontal eye field (FEF), and the mediodorsal pulvinar (mdPul) exhibit different activity and functional connectivity at α, β, and γ frequencies—rhythms associated with visual processing, working memory, and motor suppression. To assess whether and how these multiple interacting rhythms contribute to periodicity in attention, we propose a detailed computational model of FEF and LIP. When driven by θ-rhythmic inputs simulating experimentally-observed mdPul activity, this model reproduced the rhythmic dynamics and behavioral consequences of observed attentional states, revealing that the frequencies and mechanisms of the observed rhythms allow for peak sensitivity in visual target detection while maintaining functional flexibility. |
format | Online Article Text |
id | pubmed-10129332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-101293322023-04-26 Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention Aussel, Amélie Fiebelkorn, Ian C Kastner, Sabine Kopell, Nancy J Pittman-Polletta, Benjamin Rafael eLife Neuroscience Even during sustained attention, enhanced processing of attended stimuli waxes and wanes rhythmically, with periods of enhanced and relatively diminished visual processing (and subsequent target detection) alternating at 4 or 8 Hz in a sustained visual attention task. These alternating attentional states occur alongside alternating dynamical states, in which lateral intraparietal cortex (LIP), the frontal eye field (FEF), and the mediodorsal pulvinar (mdPul) exhibit different activity and functional connectivity at α, β, and γ frequencies—rhythms associated with visual processing, working memory, and motor suppression. To assess whether and how these multiple interacting rhythms contribute to periodicity in attention, we propose a detailed computational model of FEF and LIP. When driven by θ-rhythmic inputs simulating experimentally-observed mdPul activity, this model reproduced the rhythmic dynamics and behavioral consequences of observed attentional states, revealing that the frequencies and mechanisms of the observed rhythms allow for peak sensitivity in visual target detection while maintaining functional flexibility. eLife Sciences Publications, Ltd 2023-01-31 /pmc/articles/PMC10129332/ /pubmed/36718998 http://dx.doi.org/10.7554/eLife.67684 Text en © 2023, Aussel et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Aussel, Amélie Fiebelkorn, Ian C Kastner, Sabine Kopell, Nancy J Pittman-Polletta, Benjamin Rafael Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention |
title | Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention |
title_full | Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention |
title_fullStr | Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention |
title_full_unstemmed | Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention |
title_short | Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention |
title_sort | interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129332/ https://www.ncbi.nlm.nih.gov/pubmed/36718998 http://dx.doi.org/10.7554/eLife.67684 |
work_keys_str_mv | AT ausselamelie interactingrhythmsenhancesensitivityoftargetdetectioninafrontoparietalcomputationalmodelofvisualattention AT fiebelkornianc interactingrhythmsenhancesensitivityoftargetdetectioninafrontoparietalcomputationalmodelofvisualattention AT kastnersabine interactingrhythmsenhancesensitivityoftargetdetectioninafrontoparietalcomputationalmodelofvisualattention AT kopellnancyj interactingrhythmsenhancesensitivityoftargetdetectioninafrontoparietalcomputationalmodelofvisualattention AT pittmanpollettabenjaminrafael interactingrhythmsenhancesensitivityoftargetdetectioninafrontoparietalcomputationalmodelofvisualattention |