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Shared spatiotemporal category representations in biological and artificial deep neural networks.

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  • المؤلفون: Greene MR;Greene MR; Hansen BC; Hansen BC
  • المصدر:
    PLoS computational biology [PLoS Comput Biol] 2018 Jul 24; Vol. 14 (7), pp. e1006327. Date of Electronic Publication: 2018 Jul 24 (Print Publication: 2018).
  • نوع النشر :
    Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
  • اللغة:
    English
  • معلومة اضافية
    • المصدر:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: San Francisco, CA : Public Library of Science, [2005]-
    • الموضوع:
      Evoked Potentials* ; Evoked Potentials, Somatosensory* ; Neural Networks, Computer* ; Vision, Ocular*; Brain Mapping/*methods ; Somatosensory Cortex/*physiology; Adolescent ; Electrodes ; Electroencephalography/instrumentation ; Electroencephalography/methods ; Female ; Humans ; Male ; Photic Stimulation ; Young Adult
    • نبذة مختصرة :
      Visual scene category representations emerge very rapidly, yet the computational transformations that enable such invariant categorizations remain elusive. Deep convolutional neural networks (CNNs) perform visual categorization at near human-level accuracy using a feedforward architecture, providing neuroscientists with the opportunity to assess one successful series of representational transformations that enable categorization in silico. The goal of the current study is to assess the extent to which sequential scene category representations built by a CNN map onto those built in the human brain as assessed by high-density, time-resolved event-related potentials (ERPs). We found correspondence both over time and across the scalp: earlier (0-200 ms) ERP activity was best explained by early CNN layers at all electrodes. Although later activity at most electrode sites corresponded to earlier CNN layers, activity in right occipito-temporal electrodes was best explained by the later, fully-connected layers of the CNN around 225 ms post-stimulus, along with similar patterns in frontal electrodes. Taken together, these results suggest that the emergence of scene category representations develop through a dynamic interplay between early activity over occipital electrodes as well as later activity over temporal and frontal electrodes.
      Competing Interests: The authors have declared that no competing interests exist.
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    • الموضوع:
      Date Created: 20180725 Date Completed: 20190114 Latest Revision: 20191210
    • الموضوع:
      20250114
    • الرقم المعرف:
      PMC6075788
    • الرقم المعرف:
      10.1371/journal.pcbi.1006327
    • الرقم المعرف:
      30040821