دورية أكاديمية
أعرض في EDS

Spatial frequency supports the emergence of categorical representations in visual cortex during natural scene perception.

التفاصيل البيبلوغرافية
العنوان: Spatial frequency supports the emergence of categorical representations in visual cortex during natural scene perception.
المؤلفون: Dima DC; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, CF24 4HQ, United Kingdom. Electronic address: DimaDC@cardiff.ac.uk., Perry G; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, CF24 4HQ, United Kingdom., Singh KD; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, CF24 4HQ, United Kingdom.
المصدر: NeuroImage [Neuroimage] 2018 Oct 01; Vol. 179, pp. 102-116. Date of Electronic Publication: 2018 Jun 11.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Academic Press Country of Publication: United States NLM ID: 9215515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9572 (Electronic) Linking ISSN: 10538119 NLM ISO Abbreviation: Neuroimage Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Orlando, FL : Academic Press, c1992-
مواضيع طبية MeSH: Signal Processing, Computer-Assisted*, Nerve Net/*physiology , Pattern Recognition, Visual/*physiology , Visual Cortex/*physiology, Adult ; Brain Mapping/methods ; Female ; Humans ; Magnetoencephalography ; Male ; Photic Stimulation
مستخلص: In navigating our environment, we rapidly process and extract meaning from visual cues. However, the relationship between visual features and categorical representations in natural scene perception is still not well understood. Here, we used natural scene stimuli from different categories and filtered at different spatial frequencies to address this question in a passive viewing paradigm. Using representational similarity analysis (RSA) and cross-decoding of magnetoencephalography (MEG) data, we show that categorical representations emerge in human visual cortex at ∼180 ms and are linked to spatial frequency processing. Furthermore, dorsal and ventral stream areas reveal temporally and spatially overlapping representations of low and high-level layer activations extracted from a feedforward neural network. Our results suggest that neural patterns from extrastriate visual cortex switch from low-level to categorical representations within 200 ms, highlighting the rapid cascade of processing stages essential in human visual perception.
(Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.)
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فهرسة مساهمة: Keywords: Convolutional neural network (CNN); Magnetoencephalography (MEG); Multivariate pattern analysis (MVPA); Representational similarity analysis (RSA); Scene categorization
تواريخ الأحداث: Date Created: 20180615 Date Completed: 20190213 Latest Revision: 20230926
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC6057270
DOI: 10.1016/j.neuroimage.2018.06.033
PMID: 29902586
قاعدة البيانات: MEDLINE
الوصف
تدمد:1095-9572
DOI:10.1016/j.neuroimage.2018.06.033