Deep neural networks capture texture sensitivity in V2

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

doi:10.1167/JOV.20.7.21

Deep neural networks capture texture sensitivity in V2

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

Producción científica: Article › revisión exhaustiva

15 Citas (Scopus)

Idioma original	English
Número de artículo	21
Publicación	Journal of Vision
Volumen	20
N.º	7
DOI	https://doi.org/10.1167/JOV.20.7.21
Estado	Published - jul 2020

Nota bibliográfica

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).

Financiación

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).

Financiadores	Número del financiador
National Science Foundation Arctic Social Science Program	1715475
National Institutes of Health (NIH)
National Eye Institute (NEI)	R01EY024858
Google

ASJC Scopus subject areas

Ophthalmology
Sensory Systems

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10.1167/JOV.20.7.21

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title = "Deep neural networks capture texture sensitivity in V2",

keywords = "Deep learning, Deep neural network, Mid-level vision, Texture perception, Visual area V2, Visual cortex",

author = "Laskar, \{Md Nasir Uddin\} and Giraldo, \{Luis Gonzalo Sanchez\} and Odelia Schwartz",

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).",

year = "2020",

month = jul,

doi = "10.1167/JOV.20.7.21",

language = "English",

volume = "20",

number = "7",

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T1 - Deep neural networks capture texture sensitivity in V2

AU - Laskar, Md Nasir Uddin

AU - Giraldo, Luis Gonzalo Sanchez

AU - Schwartz, Odelia

N1 - 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).

PY - 2020/7

Y1 - 2020/7

KW - Deep learning

KW - Deep neural network

KW - Mid-level vision

KW - Texture perception

KW - Visual area V2

KW - Visual cortex

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U2 - 10.1167/JOV.20.7.21

DO - 10.1167/JOV.20.7.21

M3 - Article

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Deep neural networks capture texture sensitivity in V2

Nota bibliográfica

Financiación

ASJC Scopus subject areas

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Huella

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