Grid-like units help deep learning agent to navigate

Ken Cheng*

*Corresponding author for this work

    Research output: Contribution to journalEditorialpeer-review

    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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