AI mimics brain codes for navigation

Savelli, Francesco; Knierim, James J.

doi:10.1038/d41586-018-04992-7

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09 May 2018

AI mimics brain codes for navigation

An artificial-intelligence technique called deep learning has now been used to model spatial navigation. The system develops a representation of space similar to that of the grid cells found in the mammalian brain.

Francesco Savelli⁰ &
James J. Knierim¹

Francesco Savelli
1. Francesco Savelli is at the Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, Maryland 21218, USA.
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James J. Knierim
1. James J. Knierim is at the Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, Maryland 21218, USA; and in the Solomon H. Snyder Department of Neuroscience, Johns Hopkins University.
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Deep learning is an approach to artificial intelligence that is inspired by the brain’s neural networks. The technique is contributing to a plethora of technologies, from automated video analysis to language translation. In a paper online in Nature, Banino et al.¹ use this framework to gain insights into real-life neuronal networks — in particular, how geometrically regular representations of space can facilitate flexible navigation strategies.

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Nature 557, 313-314 (2018)

doi: https://doi.org/10.1038/d41586-018-04992-7

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