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  A virtual reality system to analyze neural activity and behavior in adult zebrafish

Huang, K.-H., Rupprecht, P., Frank, T., Kawakami, K., Bouwmeester, T., & Friedrich, R. W. (2020). A virtual reality system to analyze neural activity and behavior in adult zebrafish. Nature Methods, 17(3), 343-351. doi:10.1038/s41592-020-0759-2.

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 Creators:
Huang, Kuo-Hua, Author
Rupprecht, Peter, Author
Frank, Thomas1, Author           
Kawakami, Koichi, Author
Bouwmeester, Tewis, Author
Friedrich, Rainer W., Author
Affiliations:
1Max Planck Research Group: Olfactory Memory / Frank, MPI of Neurobiology, Max Planck Society, ou_3217974              

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Free keywords: CELLULAR RESOLUTION; NEURONAL-ACTIVITY; VISUAL-CORTEX; NEUROSCIENCE; DYNAMICS; BRAIN; GENE; POPULATION; PREDICTION; DROSOPHILA
 Abstract: Virtual realities are powerful tools to analyze and manipulate interactions between animals and their environment and to enable measurements of neuronal activity during behavior. In many species, however, optical access to the brain and/or the behavioral repertoire are limited. We developed a high-resolution virtual reality for head-restrained adult zebrafish, which exhibit cognitive behaviors not shown by larvae. We noninvasively measured activity throughout the dorsal telencephalon by multiphoton calcium imaging. Fish in the virtual reality showed regular swimming patterns and were attracted to animations of conspecifics. Manipulations of visuo-motor feedback revealed neurons that responded selectively to the mismatch between the expected and the actual visual consequences of motor output. Such error signals were prominent in multiple telencephalic areas, consistent with models of predictive processing. A virtual reality system for adult zebrafish therefore provides opportunities to analyze neuronal processing mechanisms underlying higher brain functions including decision making, associative learning, and social interactions.
Complex behaviors and the underlying neural activity in adult zebrafish can be accessed through a virtual reality system in combination with two-photon microscopy.

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Language(s): eng - English
 Dates: 2020-03-02
 Publication Status: Issued
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000526452500031
DOI: 10.1038/s41592-020-0759-2
 Degree: -

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Title: Nature Methods
  Other : Nature Methods
Source Genre: Journal
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Affiliations:
Publ. Info: New York, NY : Nature Publishing Group
Pages: - Volume / Issue: 17 (3) Sequence Number: - Start / End Page: 343 - 351 Identifier: ISSN: 1548-7091
CoNE: https://pure.mpg.de/cone/journals/resource/111088195279556