Grid-like units help deep learning agent to navigate

Ken Cheng*

*Corresponding author for this work

Research output: Contribution to journalEditorial

Abstract

An artificial-intelligence model based on deep learning developed units in a hidden layer that resembled mammalian grid cells in the hippocampus when the agent was taught to integrate paths. The full model performed sophisticated navigational tasks—in some cases even better than a human.

Original languageEnglish
Pages (from-to)3-4
Number of pages2
JournalLearning and Behavior
Volume47
Issue number1
DOIs
Publication statusPublished - Mar 2019

Keywords

  • Artificial intelligence
  • Modeling
  • Navigation
  • Spatial learning

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