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Neural networks need real-world behavior.

Aedan Yue LiMarieke Mur
Published in: The Behavioral and brain sciences (2023)
Bowers et al. propose to use controlled behavioral experiments when evaluating deep neural networks as models of biological vision. We agree with the sentiment and draw parallels to the notion that "neuroscience needs behavior." As a promising path forward, we suggest complementing image recognition tasks with increasingly realistic and well-controlled task environments that engage real-world object recognition behavior.
Keyphrases
  • neural network
  • working memory
  • deep learning