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

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

20 Scopus Citations
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Author(s)

  • Makio Torigoe
  • Tanvir Islam
  • Hisaya Kakinuma
  • Takuya Isomura
  • Hideaki Shimazaki
  • Tazu Aoki
  • Tomoki Fukai
  • Hitoshi Okamoto

Detail(s)

Original languageEnglish
Article number5712
Journal / PublicationNature Communications
Volume12
Online published29 Sept 2021
Publication statusPublished - 2021
Externally publishedYes

Link(s)

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.

Research Area(s)

Citation Format(s)

Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality. / Torigoe, Makio; Islam, Tanvir; Kakinuma, Hisaya et al.
In: Nature Communications, Vol. 12, 5712, 2021.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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