New Results

An empirical assay of visual object learning in humans and baseline image-computable models

Michael J. Lee, James J. DiCarlo
doi: https://doi.org/10.1101/2022.12.31.522402

Article Information

doi 
https://doi.org/10.1101/2022.12.31.522402
History 
  • January 23, 2023.

Article Versions

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Michael J. Lee1,2 and
  2. James J. DiCarlo1,2,3,*
  1. 1Department of Brain and Cognitive Sciences, MIT;
  2. 2MIT Quest for Intelligence and Center for Brains, Minds and Machines;
  3. 3McGovern Institute for Brain Research, MIT
  1. ↵*For correspondence:
    dicarlo{at}mit.edu (JJD)

  • Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA

Back to top
Posted January 23, 2023.
Download PDF
Email
An empirical assay of visual object learning in humans and baseline image-computable models
Michael J. Lee, James J. DiCarlo
bioRxiv 2022.12.31.522402; doi: https://doi.org/10.1101/2022.12.31.522402
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools

Subject Area