Grid-like units help deep learning agent to navigate

Ken Cheng*

*Corresponding author for this work

    Research output: Contribution to journalEditorialpeer-review

    1 Citation (Scopus)


    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
    Issue number1
    Publication statusPublished - Mar 2019


    • Artificial intelligence
    • Modeling
    • Navigation
    • Spatial learning


    Dive into the research topics of 'Grid-like units help deep learning agent to navigate'. Together they form a unique fingerprint.

    Cite this