Deep neural networks capture texture sensitivity in V2

Md Nasir Uddin Laskar, Luis Gonzalo Sanchez Giraldo, Odelia Schwartz

Research output: Contribution to journalArticlepeer-review

10 Scopus citations
Original languageEnglish
Article number21
JournalJournal of Vision
Volume20
Issue number7
DOIs
StatePublished - Jul 2020

Bibliographical note

Funding Information:
The authors thank Adam Kohn, Ruben Coen Cagli, and Corey Ziemba for discussions and very helpful comments on an earlier version of the manuscript; Eero Simoncelli and Corey Ziemba for discussions and providing us with the original texture data set used in the experiments; and David Grossman and Ariel Lavi for discussions during their REU research. This work was partly supported by a Google Faculty Research Award, the National Science Foundation (grant 1715475), and the National Institutes of Health (grant 1R01EY024858-01A1).

Keywords

  • Deep learning
  • Deep neural network
  • Mid-level vision
  • Texture perception
  • Visual area V2
  • Visual cortex

ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems

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