Shallow neural networks trained to detect collisions recover features of visual loom-selective neurons

  1. Baohua Zhou
  2. Zifan Li
  3. Sunnie Kim
  4. John Lafferty  Is a corresponding author
  5. Damon A Clark  Is a corresponding author
  1. Yale University, United States

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 published
  2. Accepted Manuscript published
  3. Accepted
  4. Received
  5. Preprint posted

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. Baohua Zhou
  2. Zifan Li
  3. Sunnie Kim
  4. John Lafferty
  5. Damon A Clark
(2022)
Shallow neural networks trained to detect collisions recover features of visual loom-selective neurons
eLife 11:e72067.
https://doi.org/10.7554/eLife.72067

Share this article

https://doi.org/10.7554/eLife.72067