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  Paying attention to natural scenes in area V1

Lazar, A., Klein, L., Klon-Lipok, J., Bányai, M., Orbán, G., & Singer, W. (2024). Paying attention to natural scenes in area V1. iScience, 27(2): 108816. doi:10.1016/j.isci.2024.108816.

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Lazar_2024_PayingAttention.pdf (Publisher version), 4MB
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Lazar_2024_PayingAttention.pdf
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2024
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This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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 Creators:
Lazar, Andreea1, 2, Author
Klein, Liane1, 2, Author
Klon-Lipok, Johanna1, 2, Author
Bányai, Mihály, Author
Orbán, Gergő, Author
Singer, Wolf1, 2, Author                 
Affiliations:
1Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, Deutschordenstr. 46, 60528 Frankfurt, DE, ou_2074314              
2Singer Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, Deutschordenstraße 46, 60528 Frankfurt, DE, ou_3381220              

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 Abstract: Natural scene responses in the primary visual cortex are modulated simultaneously by attention and by contextual signals about scene statistics stored across the connectivity of the visual processing hierarchy. We hypothesized that attentional and contextual signals interact in V1 in a manner that primarily benefits the representation of natural stimuli, rich in high-order statistical structure. Recording from two macaques engaged in a spatial attention task, we found that attention enhanced the decodability of stimulus identity from population responses evoked by natural scenes, but not by synthetic stimuli lacking higher-order statistical regularities. Population analysis revealed that neuronal responses converged to a low-dimensional subspace only for natural stimuli. Critically, we determined that the attentional enhancement in stimulus decodability was captured by the natural-scene subspace, indicating an alignment between the attentional and natural stimulus variance. These results suggest that attentional and contextual signals interact in V1 in a manner optimized for natural vision.

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 Dates: 2024-01-062024-02-16
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.isci.2024.108816
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Title: iScience
Source Genre: Journal
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Publ. Info: Amsterdam ; Bosten ; London ; New York ; Oxford ; Paris ; Philadelphia ; San Diego ; St. Louis : Elsevier
Pages: - Volume / Issue: 27 (2) Sequence Number: 108816 Start / End Page: - Identifier: ISSN: 2589-0042
CoNE: https://pure.mpg.de/cone/journals/resource/2589-0042