1. Neuroscience

'Artiphysiology' reveals V4-like shape tuning in a deep network trained for image classification

  1. Dean A Pospisil  Is a corresponding author
  2. Anitha Pasupathy
  3. Wyeth Bair
  1. University of Washington, United States
https://doi.org/10.7554/eLife.38242
Share this article
Cite this article
  1. Dean A Pospisil
  2. Anitha Pasupathy
  3. Wyeth Bair
(2018)
'Artiphysiology' reveals V4-like shape tuning in a deep network trained for image classification
eLife 7:e38242.
https://doi.org/10.7554/eLife.38242
  2. Download BibTeX
  3. Download .RIS

Peer review process

This article was accepted for publication via eLife's original publishing model. eLife publishes the authors' accepted manuscript as a PDF only version before the full Version of Record is ready for publication. Peer reviews are published along with the Version of Record.

History

  1. Version of Record updated
  2. Version of Record published
  3. Accepted Manuscript published
  4. Accepted
  5. Received

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Dean A Pospisil
  2. Anitha Pasupathy
  3. Wyeth Bair
(2018)
'Artiphysiology' reveals V4-like shape tuning in a deep network trained for image classification
eLife 7:e38242.
https://doi.org/10.7554/eLife.38242

Share this article

https://doi.org/10.7554/eLife.38242