Deep neural networks rival the representation of primate IT cortex for core visual object recognition. (Q34732320)

4 August 2017

Deep neural networks rival the representation of primate IT cortex for core visual object recognition. (English)

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4 August 2017

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8

James J DiCarlo

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4 August 2017

Charles F Cadieu

1

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4 August 2017

Ha Hong

2

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4 August 2017

Daniel L K Yamins

3

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4 August 2017

Nicolas Pinto

4

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4 August 2017

Diego Ardila

5

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4 August 2017

Ethan A Solomon

6

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4 August 2017

Najib J Majaj

7

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4 August 2017

18 December 2014

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PLOS Computational Biology

4 August 2017

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4 August 2017

10

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4 August 2017

12

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4 August 2017

e1003963

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Creative Commons Attribution 4.0 International

4 August 2017

start time

18 December 2014

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

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cites work

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Selectivity and tolerance ("invariance") both increase as visual information propagates from cortical area V4 to IT.

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7 July 2018

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7 July 2018

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21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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26 October 2018

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26 October 2018

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Speed of processing in the human visual system

26 October 2018

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21 January 2018

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PubMed

https://pubmed.ncbi.nlm.nih.gov/25521294

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Idiosyncratic characteristics of saccadic eye movements when viewing different visual environments

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/25521294

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1371/JOURNAL.PCBI.1003963

1 reference

journals/ploscb/CadieuHYPASMD14

4 August 2017

1 reference

1 reference

DBLP Dataset 2021-01-02

28 January 2021

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1 reference

4 August 2017

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