Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality

Makio Torigoe, Tanvir Islam, Hisaya Kakinuma, Chi Chung Alan Fung, Takuya Isomura, Hideaki Shimazaki, Tazu Aoki, Tomoki Fukai and Hitoshi Okamoto ()
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Makio Torigoe: Lab. for Neural Circuit Dynamics of Decision Making, RIKEN Center for Brain Science
Tanvir Islam: Lab. for Neural Circuit Dynamics of Decision Making, RIKEN Center for Brain Science
Hisaya Kakinuma: Lab. for Neural Circuit Dynamics of Decision Making, RIKEN Center for Brain Science
Chi Chung Alan Fung: Neural Coding and Brain Computing Unit, Okinawa Institute of Science and Technology
Takuya Isomura: Brain Intelligence Theory Unit, RIKEN Center for Brain Science
Hideaki Shimazaki: Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN), Hokkaido University
Tazu Aoki: Lab. for Neural Circuit Dynamics of Decision Making, RIKEN Center for Brain Science
Tomoki Fukai: Neural Coding and Brain Computing Unit, Okinawa Institute of Science and Technology
Hitoshi Okamoto: Lab. for Neural Circuit Dynamics of Decision Making, RIKEN Center for Brain Science

Nature Communications, 2021, vol. 12, issue 1, 1-21

Abstract: Abstract Animals make decisions under the principle of reward value maximization and surprise minimization. It is still unclear how these principles are represented in the brain and are reflected in behavior. We addressed this question using a closed-loop virtual reality system to train adult zebrafish for active avoidance. Analysis of the neural activity of the dorsal pallium during training revealed neural ensembles assigning rules to the colors of the surrounding walls. Additionally, one third of fish generated another ensemble that becomes activated only when the real perceived scenery shows discrepancy from the predicted favorable scenery. The fish with the latter ensemble escape more efficiently than the fish with the former ensembles alone, even though both fish have successfully learned to escape, consistent with the hypothesis that the latter ensemble guides zebrafish to take action to minimize this prediction error. Our results suggest that zebrafish can use both principles of goal-directed behavior, but with different behavioral consequences depending on the repertoire of the adopted principles.

Date: 2021
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DOI: 10.1038/s41467-021-26010-7

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