Unveiling the content of frontal feedback in challenging object recognition
Object recognition under challenging real-world conditions, including partial occlusion, remains an enduring focus of investigation in cognitive visual neuroscience. This study addresses the insufficiently elucidated neural mechanisms and temporal dynamics involved in this complex process, concentra...
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Language: | English |
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Elsevier
2025-03-01
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Series: | NeuroImage |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811925000606 |
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author | Nastaran Darjani Jalaledin Noroozi Mohammad-Reza A. Dehaqani |
author_facet | Nastaran Darjani Jalaledin Noroozi Mohammad-Reza A. Dehaqani |
author_sort | Nastaran Darjani |
collection | DOAJ |
description | Object recognition under challenging real-world conditions, including partial occlusion, remains an enduring focus of investigation in cognitive visual neuroscience. This study addresses the insufficiently elucidated neural mechanisms and temporal dynamics involved in this complex process, concentrating on the persistent challenge of recognizing objects obscured by occlusion. Through the analysis of human EEG data, we decode feedback characteristics within frontotemporal networks, uncovering intricate neural mechanisms during occlusion coding, with a specific emphasis on processing complex stimuli such as occluded faces. Our findings elucidate the critical role of frontal feedback in the late processing stage of occluded face recognition, contributing to enhanced accuracy in identification. Temporal dynamics reveal distinct characteristics in both early and late processing stages, allowing the discernment of two unique types of occlusion processing that go beyond visual features, incorporating higher-order associations. The increased synchronized activity between frontal and temporal areas during the processing of occluded stimuli underscores the importance of frontotemporal coordination in challenging real-world conditions. A comparative analysis with macaque IT cortex recordings validates the contribution of the frontal cortex in the late stage of occluded face processing. Notably, the observed disparity between human EEG and two deep computational models, both with and without the consideration of feedback connection, emphasize the necessity for expanding models to accurately simulate frontal feedback. |
format | Article |
id | doaj-art-29cf2f7fad814848a5bb930677eb4635 |
institution | Kabale University |
issn | 1095-9572 |
language | English |
publishDate | 2025-03-01 |
publisher | Elsevier |
record_format | Article |
series | NeuroImage |
spelling | doaj-art-29cf2f7fad814848a5bb930677eb46352025-02-07T04:46:54ZengElsevierNeuroImage1095-95722025-03-01308121058Unveiling the content of frontal feedback in challenging object recognitionNastaran Darjani0Jalaledin Noroozi1Mohammad-Reza A. Dehaqani2School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, IranSchool of Cognitive Sciences, Institute for Research in Fundamental Sciences, Tehran, IranSchool of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences, Tehran, Iran; Corresponding author at: School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.Object recognition under challenging real-world conditions, including partial occlusion, remains an enduring focus of investigation in cognitive visual neuroscience. This study addresses the insufficiently elucidated neural mechanisms and temporal dynamics involved in this complex process, concentrating on the persistent challenge of recognizing objects obscured by occlusion. Through the analysis of human EEG data, we decode feedback characteristics within frontotemporal networks, uncovering intricate neural mechanisms during occlusion coding, with a specific emphasis on processing complex stimuli such as occluded faces. Our findings elucidate the critical role of frontal feedback in the late processing stage of occluded face recognition, contributing to enhanced accuracy in identification. Temporal dynamics reveal distinct characteristics in both early and late processing stages, allowing the discernment of two unique types of occlusion processing that go beyond visual features, incorporating higher-order associations. The increased synchronized activity between frontal and temporal areas during the processing of occluded stimuli underscores the importance of frontotemporal coordination in challenging real-world conditions. A comparative analysis with macaque IT cortex recordings validates the contribution of the frontal cortex in the late stage of occluded face processing. Notably, the observed disparity between human EEG and two deep computational models, both with and without the consideration of feedback connection, emphasize the necessity for expanding models to accurately simulate frontal feedback.http://www.sciencedirect.com/science/article/pii/S1053811925000606MVPAFrontotemporal feedbackHuman EEGElectrophysiology |
spellingShingle | Nastaran Darjani Jalaledin Noroozi Mohammad-Reza A. Dehaqani Unveiling the content of frontal feedback in challenging object recognition NeuroImage MVPA Frontotemporal feedback Human EEG Electrophysiology |
title | Unveiling the content of frontal feedback in challenging object recognition |
title_full | Unveiling the content of frontal feedback in challenging object recognition |
title_fullStr | Unveiling the content of frontal feedback in challenging object recognition |
title_full_unstemmed | Unveiling the content of frontal feedback in challenging object recognition |
title_short | Unveiling the content of frontal feedback in challenging object recognition |
title_sort | unveiling the content of frontal feedback in challenging object recognition |
topic | MVPA Frontotemporal feedback Human EEG Electrophysiology |
url | http://www.sciencedirect.com/science/article/pii/S1053811925000606 |
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