On the importance of severely testing deep learning models of cognition-Reference-Cited by-同舟云学术

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On the importance of severely testing deep learning models of cognition

Published:2023-12 Issue: Volume:82 Page:101158
ISSN:1389-0417
Container-title:Cognitive Systems Research
language:en
Short-container-title:Cognitive Systems Research

Author:

Bowers Jeffrey S.,Malhotra Gaurav^ORCID,Adolfi Federico,Dujmović Marin^ORCID,Montero Milton L.,Biscione Valerio,Puebla Guillermo^ORCID,Hummel John H.,Heaton Rachel F.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology,Software

Reference91 articles.

1. Deep learning models fail to capture the configural nature of human shape perception;Baker;Iscience,2022

2. Deep convolutional networks do not classify based on global object shape;Baker;PLoS Computational Biology,2018

3. Vector-based navigation using grid-like representations in artificial agents;Banino;Nature,2018

4. Recognition-by-components: A theory of human image understanding;Biederman;Psychological Review,1987

5. Surface versus edge-based determinants of visual recognition;Biederman;Cognitive Psychology,1988

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