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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...

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Autores principales: Wagatsuma, Nobuhiko, Potjans, Tobias C., Diesmann, Markus, Sakai, Ko, Fukai, Tomoki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
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.
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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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