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Real-world structure facilitates the rapid emergence of scene category information in visual brain signals
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Zeitschriftentitel: | Journal of Neurophysiology |
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Personen und Körperschaften: | , , |
In: | Journal of Neurophysiology, 124, 2020, 1, S. 145-151 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
American Physiological Society
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Schlagwörter: |
author_facet |
Kaiser, Daniel Häberle, Greta Cichy, Radoslaw M. Kaiser, Daniel Häberle, Greta Cichy, Radoslaw M. |
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author |
Kaiser, Daniel Häberle, Greta Cichy, Radoslaw M. |
spellingShingle |
Kaiser, Daniel Häberle, Greta Cichy, Radoslaw M. Journal of Neurophysiology Real-world structure facilitates the rapid emergence of scene category information in visual brain signals Physiology General Neuroscience |
author_sort |
kaiser, daniel |
spelling |
Kaiser, Daniel Häberle, Greta Cichy, Radoslaw M. 0022-3077 1522-1598 American Physiological Society Physiology General Neuroscience http://dx.doi.org/10.1152/jn.00164.2020 <jats:p> Natural scenes are structured, with different types of information appearing in predictable locations. Here, we use EEG decoding to show that the visual brain uses this structure to efficiently analyze scene content. During early visual processing, the category of a scene (e.g., a church vs. a supermarket) could be more accurately decoded from EEG signals when the scene adhered to its typical spatial structure compared with when it did not. </jats:p> Real-world structure facilitates the rapid emergence of scene category information in visual brain signals Journal of Neurophysiology |
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10.1152/jn.00164.2020 |
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American Physiological Society, 2020 |
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American Physiological Society, 2020 |
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0022-3077 1522-1598 |
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2020 |
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American Physiological Society |
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Journal of Neurophysiology |
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title |
Real-world structure facilitates the rapid emergence of scene category information in visual brain signals |
title_unstemmed |
Real-world structure facilitates the rapid emergence of scene category information in visual brain signals |
title_full |
Real-world structure facilitates the rapid emergence of scene category information in visual brain signals |
title_fullStr |
Real-world structure facilitates the rapid emergence of scene category information in visual brain signals |
title_full_unstemmed |
Real-world structure facilitates the rapid emergence of scene category information in visual brain signals |
title_short |
Real-world structure facilitates the rapid emergence of scene category information in visual brain signals |
title_sort |
real-world structure facilitates the rapid emergence of scene category information in visual brain signals |
topic |
Physiology General Neuroscience |
url |
http://dx.doi.org/10.1152/jn.00164.2020 |
publishDate |
2020 |
physical |
145-151 |
description |
<jats:p> Natural scenes are structured, with different types of information appearing in predictable locations. Here, we use EEG decoding to show that the visual brain uses this structure to efficiently analyze scene content. During early visual processing, the category of a scene (e.g., a church vs. a supermarket) could be more accurately decoded from EEG signals when the scene adhered to its typical spatial structure compared with when it did not. </jats:p> |
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author | Kaiser, Daniel, Häberle, Greta, Cichy, Radoslaw M. |
author_facet | Kaiser, Daniel, Häberle, Greta, Cichy, Radoslaw M., Kaiser, Daniel, Häberle, Greta, Cichy, Radoslaw M. |
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container_title | Journal of Neurophysiology |
container_volume | 124 |
description | <jats:p> Natural scenes are structured, with different types of information appearing in predictable locations. Here, we use EEG decoding to show that the visual brain uses this structure to efficiently analyze scene content. During early visual processing, the category of a scene (e.g., a church vs. a supermarket) could be more accurately decoded from EEG signals when the scene adhered to its typical spatial structure compared with when it did not. </jats:p> |
doi_str_mv | 10.1152/jn.00164.2020 |
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physical | 145-151 |
publishDate | 2020 |
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publisher | American Physiological Society |
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series | Journal of Neurophysiology |
source_id | 49 |
spelling | Kaiser, Daniel Häberle, Greta Cichy, Radoslaw M. 0022-3077 1522-1598 American Physiological Society Physiology General Neuroscience http://dx.doi.org/10.1152/jn.00164.2020 <jats:p> Natural scenes are structured, with different types of information appearing in predictable locations. Here, we use EEG decoding to show that the visual brain uses this structure to efficiently analyze scene content. During early visual processing, the category of a scene (e.g., a church vs. a supermarket) could be more accurately decoded from EEG signals when the scene adhered to its typical spatial structure compared with when it did not. </jats:p> Real-world structure facilitates the rapid emergence of scene category information in visual brain signals Journal of Neurophysiology |
spellingShingle | Kaiser, Daniel, Häberle, Greta, Cichy, Radoslaw M., Journal of Neurophysiology, Real-world structure facilitates the rapid emergence of scene category information in visual brain signals, Physiology, General Neuroscience |
title | Real-world structure facilitates the rapid emergence of scene category information in visual brain signals |
title_full | Real-world structure facilitates the rapid emergence of scene category information in visual brain signals |
title_fullStr | Real-world structure facilitates the rapid emergence of scene category information in visual brain signals |
title_full_unstemmed | Real-world structure facilitates the rapid emergence of scene category information in visual brain signals |
title_short | Real-world structure facilitates the rapid emergence of scene category information in visual brain signals |
title_sort | real-world structure facilitates the rapid emergence of scene category information in visual brain signals |
title_unstemmed | Real-world structure facilitates the rapid emergence of scene category information in visual brain signals |
topic | Physiology, General Neuroscience |
url | http://dx.doi.org/10.1152/jn.00164.2020 |