دورية أكاديمية
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Population response magnitude variation in inferotemporal cortex predicts image memorability.

التفاصيل البيبلوغرافية
العنوان: Population response magnitude variation in inferotemporal cortex predicts image memorability.
المؤلفون: Jaegle A; Department of Psychology, University of Pennsylvania, Philadelphia, United States., Mehrpour V; Department of Psychology, University of Pennsylvania, Philadelphia, United States., Mohsenzadeh Y; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, United States.; Brain and Mind Institute, Western University, London, Canada.; Department of Computer Science, Western University, London, Canada., Meyer T; Department of Psychology, University of Pennsylvania, Philadelphia, United States., Oliva A; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, United States., Rust N; Department of Psychology, University of Pennsylvania, Philadelphia, United States.
المصدر: ELife [Elife] 2019 Aug 29; Vol. 8. Date of Electronic Publication: 2019 Aug 29.
نوع المنشور: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
اللغة: English
بيانات الدورية: Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Cambridge, UK : eLife Sciences Publications, Ltd., 2012-
مواضيع طبية MeSH: Eidetic Imagery* , Visual Perception*, Neurons/*physiology , Temporal Lobe/*physiology, Animals ; Haplorhini ; Humans ; Neural Networks, Computer
مستخلص: Most accounts of image and object encoding in inferotemporal cortex (IT) focus on the distinct patterns of spikes that different images evoke across the IT population. By analyzing data collected from IT as monkeys performed a visual memory task, we demonstrate that variation in a complementary coding scheme, the magnitude of the population response, can largely account for how well images will be remembered. To investigate the origin of IT image memorability modulation, we probed convolutional neural network models trained to categorize objects. We found that, like the brain, different natural images evoked different magnitude responses from these networks, and in higher layers, larger magnitude responses were correlated with the images that humans and monkeys find most memorable. Together, these results suggest that variation in IT population response magnitude is a natural consequence of the optimizations required for visual processing, and that this variation has consequences for visual memory.
Competing Interests: AJ, VM, YM, TM, AO, NR No competing interests declared
(© 2019, Jaegle et al.)
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معلومات مُعتمدة: 1532591 International National Science Foundation; 1265480 International National Science Foundation; P30 EY001583 United States EY NEI NIH HHS; R01EY020851 United States EY NEI NIH HHS; R01 EY020851 United States EY NEI NIH HHS; 543033 International Simons Foundation
فهرسة مساهمة: Keywords: inferotemporal cortex; memorability; neural network; neuroscience; population coding; rhesus macaque; visual memory
تواريخ الأحداث: Date Created: 20190830 Date Completed: 20200219 Latest Revision: 20211203
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC6715346
DOI: 10.7554/eLife.47596
PMID: 31464687
قاعدة البيانات: MEDLINE
الوصف
تدمد:2050-084X
DOI:10.7554/eLife.47596