Cargando…
Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model
A vast amount of information about the external world continuously flows into the brain, whereas its capacity to process such information is limited. Attention enables the brain to allocate its resources of information processing to selected sensory inputs for reducing its computational load, and ef...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3134838/ https://www.ncbi.nlm.nih.gov/pubmed/21779240 http://dx.doi.org/10.3389/fncom.2011.00031 |
_version_ | 1782208017643601920 |
---|---|
author | Wagatsuma, Nobuhiko Potjans, Tobias C. Diesmann, Markus Fukai, Tomoki |
author_facet | Wagatsuma, Nobuhiko Potjans, Tobias C. Diesmann, Markus Fukai, Tomoki |
author_sort | Wagatsuma, Nobuhiko |
collection | PubMed |
description | A vast amount of information about the external world continuously flows into the brain, whereas its capacity to process such information is limited. Attention enables the brain to allocate its resources of information processing to selected sensory inputs for reducing its computational load, and effects of attention have been extensively studied in visual information processing. However, how the microcircuit of the visual cortex processes attentional information from higher areas remains largely unknown. Here, we explore the complex interactions between visual inputs and an attentional signal in a computational model of the visual cortical microcircuit. Our model not only successfully accounts for previous experimental observations of attentional effects on visual neuronal responses, but also predicts contrasting differences in the attentional effects of top-down signals between cortical layers: attention to a preferred stimulus of a column enhances neuronal responses of layers 2/3 and 5, the output stations of cortical microcircuits, whereas attention suppresses neuronal responses of layer 4, the input station of cortical microcircuits. We demonstrate that the specific modulation pattern of layer-4 activity, which emerges from inter-laminar synaptic connections, is crucial for a rapid shift of attention to a currently unattended stimulus. Our results suggest that top-down signals act differently on different layers of the cortical microcircuit. |
format | Online Article Text |
id | pubmed-3134838 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-31348382011-07-21 Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model Wagatsuma, Nobuhiko Potjans, Tobias C. Diesmann, Markus Fukai, Tomoki Front Comput Neurosci Neuroscience A vast amount of information about the external world continuously flows into the brain, whereas its capacity to process such information is limited. Attention enables the brain to allocate its resources of information processing to selected sensory inputs for reducing its computational load, and effects of attention have been extensively studied in visual information processing. However, how the microcircuit of the visual cortex processes attentional information from higher areas remains largely unknown. Here, we explore the complex interactions between visual inputs and an attentional signal in a computational model of the visual cortical microcircuit. Our model not only successfully accounts for previous experimental observations of attentional effects on visual neuronal responses, but also predicts contrasting differences in the attentional effects of top-down signals between cortical layers: attention to a preferred stimulus of a column enhances neuronal responses of layers 2/3 and 5, the output stations of cortical microcircuits, whereas attention suppresses neuronal responses of layer 4, the input station of cortical microcircuits. We demonstrate that the specific modulation pattern of layer-4 activity, which emerges from inter-laminar synaptic connections, is crucial for a rapid shift of attention to a currently unattended stimulus. Our results suggest that top-down signals act differently on different layers of the cortical microcircuit. Frontiers Research Foundation 2011-07-08 /pmc/articles/PMC3134838/ /pubmed/21779240 http://dx.doi.org/10.3389/fncom.2011.00031 Text en Copyright © 2011 Wagatsuma, Potjans, Diesmann and Fukai. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with. |
spellingShingle | Neuroscience Wagatsuma, Nobuhiko Potjans, Tobias C. Diesmann, Markus Fukai, Tomoki Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model |
title | Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model |
title_full | Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model |
title_fullStr | Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model |
title_full_unstemmed | Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model |
title_short | Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model |
title_sort | layer-dependent attentional processing by top-down signals in a visual cortical microcircuit model |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3134838/ https://www.ncbi.nlm.nih.gov/pubmed/21779240 http://dx.doi.org/10.3389/fncom.2011.00031 |
work_keys_str_mv | AT wagatsumanobuhiko layerdependentattentionalprocessingbytopdownsignalsinavisualcorticalmicrocircuitmodel AT potjanstobiasc layerdependentattentionalprocessingbytopdownsignalsinavisualcorticalmicrocircuitmodel AT diesmannmarkus layerdependentattentionalprocessingbytopdownsignalsinavisualcorticalmicrocircuitmodel AT fukaitomoki layerdependentattentionalprocessingbytopdownsignalsinavisualcorticalmicrocircuitmodel |