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Spatial and Feature-Based Attention in a Layered Cortical Microcircuit Model
Directing attention to the spatial location or the distinguishing feature of a visual object modulates neuronal responses in the visual cortex and the stimulus discriminability of subjects. However, the spatial and feature-based modes of attention differently influence visual processing by changing...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3855641/ https://www.ncbi.nlm.nih.gov/pubmed/24324628 http://dx.doi.org/10.1371/journal.pone.0080788 |
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author | Wagatsuma, Nobuhiko Potjans, Tobias C. Diesmann, Markus Sakai, Ko Fukai, Tomoki |
author_facet | Wagatsuma, Nobuhiko Potjans, Tobias C. Diesmann, Markus Sakai, Ko Fukai, Tomoki |
author_sort | Wagatsuma, Nobuhiko |
collection | PubMed |
description | Directing attention to the spatial location or the distinguishing feature of a visual object modulates neuronal responses in the visual cortex and the stimulus discriminability of subjects. However, the spatial and feature-based modes of attention differently influence visual processing by changing the tuning properties of neurons. Intriguingly, neurons' tuning curves are modulated similarly across different visual areas under both these modes of attention. Here, we explored the mechanism underlying the effects of these two modes of visual attention on the orientation selectivity of visual cortical neurons. To do this, we developed a layered microcircuit model. This model describes multiple orientation-specific microcircuits sharing their receptive fields and consisting of layers 2/3, 4, 5, and 6. These microcircuits represent a functional grouping of cortical neurons and mutually interact via lateral inhibition and excitatory connections between groups with similar selectivity. The individual microcircuits receive bottom-up visual stimuli and top-down attention in different layers. A crucial assumption of the model is that feature-based attention activates orientation-specific microcircuits for the relevant feature selectively, whereas spatial attention activates all microcircuits homogeneously, irrespective of their orientation selectivity. Consequently, our model simultaneously accounts for the multiplicative scaling of neuronal responses in spatial attention and the additive modulations of orientation tuning curves in feature-based attention, which have been observed widely in various visual cortical areas. Simulations of the model predict contrasting differences between excitatory and inhibitory neurons in the two modes of attentional modulations. Furthermore, the model replicates the modulation of the psychophysical discriminability of visual stimuli in the presence of external noise. Our layered model with a biologically suggested laminar structure describes the basic circuit mechanism underlying the attention-mode specific modulations of neuronal responses and visual perception. |
format | Online Article Text |
id | pubmed-3855641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38556412013-12-09 Spatial and Feature-Based Attention in a Layered Cortical Microcircuit Model Wagatsuma, Nobuhiko Potjans, Tobias C. Diesmann, Markus Sakai, Ko Fukai, Tomoki PLoS One Research Article Directing attention to the spatial location or the distinguishing feature of a visual object modulates neuronal responses in the visual cortex and the stimulus discriminability of subjects. However, the spatial and feature-based modes of attention differently influence visual processing by changing the tuning properties of neurons. Intriguingly, neurons' tuning curves are modulated similarly across different visual areas under both these modes of attention. Here, we explored the mechanism underlying the effects of these two modes of visual attention on the orientation selectivity of visual cortical neurons. To do this, we developed a layered microcircuit model. This model describes multiple orientation-specific microcircuits sharing their receptive fields and consisting of layers 2/3, 4, 5, and 6. These microcircuits represent a functional grouping of cortical neurons and mutually interact via lateral inhibition and excitatory connections between groups with similar selectivity. The individual microcircuits receive bottom-up visual stimuli and top-down attention in different layers. A crucial assumption of the model is that feature-based attention activates orientation-specific microcircuits for the relevant feature selectively, whereas spatial attention activates all microcircuits homogeneously, irrespective of their orientation selectivity. Consequently, our model simultaneously accounts for the multiplicative scaling of neuronal responses in spatial attention and the additive modulations of orientation tuning curves in feature-based attention, which have been observed widely in various visual cortical areas. Simulations of the model predict contrasting differences between excitatory and inhibitory neurons in the two modes of attentional modulations. Furthermore, the model replicates the modulation of the psychophysical discriminability of visual stimuli in the presence of external noise. Our layered model with a biologically suggested laminar structure describes the basic circuit mechanism underlying the attention-mode specific modulations of neuronal responses and visual perception. Public Library of Science 2013-12-06 /pmc/articles/PMC3855641/ /pubmed/24324628 http://dx.doi.org/10.1371/journal.pone.0080788 Text en © 2013 Wagatsuma et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Wagatsuma, Nobuhiko Potjans, Tobias C. Diesmann, Markus Sakai, Ko Fukai, Tomoki Spatial and Feature-Based Attention in a Layered Cortical Microcircuit Model |
title | Spatial and Feature-Based Attention in a Layered Cortical Microcircuit Model |
title_full | Spatial and Feature-Based Attention in a Layered Cortical Microcircuit Model |
title_fullStr | Spatial and Feature-Based Attention in a Layered Cortical Microcircuit Model |
title_full_unstemmed | Spatial and Feature-Based Attention in a Layered Cortical Microcircuit Model |
title_short | Spatial and Feature-Based Attention in a Layered Cortical Microcircuit Model |
title_sort | spatial and feature-based attention in a layered cortical microcircuit model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3855641/ https://www.ncbi.nlm.nih.gov/pubmed/24324628 http://dx.doi.org/10.1371/journal.pone.0080788 |
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