MISC

2019年2月11日

Future state prediction errors guide active avoidance behavior by adult zebrafish

  • Makio Torigoe
  • ,
  • Tanvir Islam
  • ,
  • Hisaya Kakinuma
  • ,
  • Chi Chung Alan Fung
  • ,
  • Takuya Isomura
  • ,
  • Hideaki Shimazaki
  • ,
  • Tazu Aoki
  • ,
  • Tomoki Fukai
  • ,
  • Hitoshi Okamoto

DOI
10.1101/546440
出版者・発行元
Cold Spring Harbor Laboratory

<title>Summary</title>Human predicts future. To ask if fish also has this capacity, we established the virtual reality training system with live imaging of the telencephalic neurons of adult zebrafish in the active avoidance and found that, at the onset of the trial, learned fish conceives two future conditions as the favorable status on its way to the safe goal, <italic>i.e.</italic> one with the backwardly moving landscape and the other with the color of the safe goal. And the two different neural ensembles monitor the discrepancy between these predictions and the perceived real external status. Once fish reaches the goal, another ensemble is set to work to monitor whether fish keeps staying in the safe goal. The manipulation to artificially enhance these prediction errors elevated the activities of these ensembles and induced fish to behave to correct errors, revealing that fish sets behavioral strategy to actively realize these predictions.

リンク情報
DOI
https://doi.org/10.1101/546440
URL
https://syndication.highwire.org/content/doi/10.1101/546440

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