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An image-computable model for the stimulus selectivity of gamma oscillations

التفاصيل البيبلوغرافية
العنوان: An image-computable model for the stimulus selectivity of gamma oscillations
المؤلفون: Dora Hermes, Natalia Petridou, Kendrick N Kay, Jonathan Winawer
المصدر: eLife, Vol 8 (2019)
بيانات النشر: eLife Sciences Publications Ltd, 2019.
سنة النشر: 2019
المجموعة: LCC:Medicine
LCC:Science
LCC:Biology (General)
مصطلحات موضوعية: visual cortex, modeling, gamma oscillations, ecog, Medicine, Science, Biology (General), QH301-705.5
الوصف: Gamma oscillations in visual cortex have been hypothesized to be critical for perception, cognition, and information transfer. However, observations of these oscillations in visual cortex vary widely; some studies report little to no stimulus-induced narrowband gamma oscillations, others report oscillations for only some stimuli, and yet others report large oscillations for most stimuli. To better understand this signal, we developed a model that predicts gamma responses for arbitrary images and validated this model on electrocorticography (ECoG) data from human visual cortex. The model computes variance across the outputs of spatially pooled orientation channels, and accurately predicts gamma amplitude across 86 images. Gamma responses were large for a small subset of stimuli, differing dramatically from fMRI and ECoG broadband (non-oscillatory) responses. We propose that gamma oscillations in visual cortex serve as a biomarker of gain control rather than being a fundamental mechanism for communicating visual information.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2050-084X
Relation: https://elifesciences.org/articles/47035; https://doaj.org/toc/2050-084X
DOI: 10.7554/eLife.47035
URL الوصول: https://doaj.org/article/5afab5ff68d64658b9e46d1a368ca78e
رقم الأكسشن: edsdoj.5afab5ff68d64658b9e46d1a368ca78e
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2050084X
DOI:10.7554/eLife.47035