Locally ordered representation of 3D space in the entorhinal cortex

Gily Ginosar, Johnatan Aljadeff, Yoram Burak, Haim Sompolinsky, Liora Las and Nachum Ulanovsky ()
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Gily Ginosar: Weizmann Institute of Science
Johnatan Aljadeff: Weizmann Institute of Science
Yoram Burak: The Hebrew University of Jerusalem
Haim Sompolinsky: The Hebrew University of Jerusalem
Liora Las: Weizmann Institute of Science
Nachum Ulanovsky: Weizmann Institute of Science

Nature, 2021, vol. 596, issue 7872, 404-409

Abstract: Abstract As animals navigate on a two-dimensional surface, neurons in the medial entorhinal cortex (MEC) known as grid cells are activated when the animal passes through multiple locations (firing fields) arranged in a hexagonal lattice that tiles the locomotion surface1. However, although our world is three-dimensional, it is unclear how the MEC represents 3D space2. Here we recorded from MEC cells in freely flying bats and identified several classes of spatial neurons, including 3D border cells, 3D head-direction cells, and neurons with multiple 3D firing fields. Many of these multifield neurons were 3D grid cells, whose neighbouring fields were separated by a characteristic distance—forming a local order—but lacked any global lattice arrangement of the fields. Thus, whereas 2D grid cells form a global lattice—characterized by both local and global order—3D grid cells exhibited only local order, creating a locally ordered metric for space. We modelled grid cells as emerging from pairwise interactions between fields, which yielded a hexagonal lattice in 2D and local order in 3D, thereby describing both 2D and 3D grid cells using one unifying model. Together, these data and model illuminate the fundamental differences and similarities between neural codes for 3D and 2D space in the mammalian brain.

Date: 2021
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DOI: 10.1038/s41586-021-03783-x

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