Natural switches in behaviour rapidly modulate hippocampal coding

Ayelet Sarel, Shaked Palgi, Dan Blum, Johnatan Aljadeff, Liora Las () and Nachum Ulanovsky ()
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Ayelet Sarel: Weizmann Institute of Science
Shaked Palgi: Weizmann Institute of Science
Dan Blum: Weizmann Institute of Science
Johnatan Aljadeff: Weizmann Institute of Science
Liora Las: Weizmann Institute of Science
Nachum Ulanovsky: Weizmann Institute of Science

Nature, 2022, vol. 609, issue 7925, 119-127

Abstract: Abstract Throughout their daily lives, animals and humans often switch between different behaviours. However, neuroscience research typically studies the brain while the animal is performing one behavioural task at a time, and little is known about how brain circuits represent switches between different behaviours. Here we tested this question using an ethological setting: two bats flew together in a long 135 m tunnel, and switched between navigation when flying alone (solo) and collision avoidance as they flew past each other (cross-over). Bats increased their echolocation click rate before each cross-over, indicating attention to the other bat1–9. Hippocampal CA1 neurons represented the bat’s own position when flying alone (place coding10–14). Notably, during cross-overs, neurons switched rapidly to jointly represent the interbat distance by self-position. This neuronal switch was very fast—as fast as 100 ms—which could be revealed owing to the very rapid natural behavioural switch. The neuronal switch correlated with the attention signal, as indexed by echolocation. Interestingly, the different place fields of the same neuron often exhibited very different tuning to interbat distance, creating a complex non-separable coding of position by distance. Theoretical analysis showed that this complex representation yields more efficient coding. Overall, our results suggest that during dynamic natural behaviour, hippocampal neurons can rapidly switch their core computation to represent the relevant behavioural variables, supporting behavioural flexibility.

Date: 2022
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DOI: 10.1038/s41586-022-05112-2

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