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  A neural representation of naturalistic motion-guided behavior in the zebrafish brain

Yildizoglu, T., Riegler, C., Fitzgerald, J. E., & Portugues, R. (2020). A neural representation of naturalistic motion-guided behavior in the zebrafish brain. Current Biology, 30(12), 2321-2333.e6. doi:10.1016/j.cub.2020.04.043.

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 Creators:
Yildizoglu, Tugce1, Author           
Riegler, Clemens, Author
Fitzgerald, James E., Author
Portugues, Ruben1, Author           
Affiliations:
1Max Planck Research Group: Sensorimotor Control / Portugues, MPI of Neurobiology, Max Planck Society, ou_2054291              

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Free keywords: RETINAL GANGLION-CELLS; NON-FOURIER MOTION; VISUAL-MOTION; LARVAL ZEBRAFISH; EVIDENCE ACCUMULATION; PREY CAPTURE; PERCEPTION; DROSOPHILA; MODELS; STATISTICS
 Abstract: All animals must transform ambiguous sensory data into successful behavior. This requires sensory representations that accurately reflect the statistics of natural stimuli and behavior. Multiple studies show that visual motion processing is tuned for accuracy under naturalistic conditions, but the sensorimotor circuits extracting these cues and implementing motion-guided behavior remain unclear. Here we show that the larval zebrafish retina extracts a diversity of naturalistic motion cues, and the retinorecipient pretectum organizes these cues around the elements of behavior. We find that higher-order motion stimuli, gliders, induce optomotor behavior matching expectations from natural scene analyses. We then image activity of retinal ganglion cell terminals and pretectal neurons. The retina exhibits direction-selective responses across glider stimuli, and anatomically clustered pretectal neurons respond with magnitudes matching behavior. Peripheral computations thus reflect natural input statistics, whereas central brain activity precisely codes information needed for behavior. This general principle could organize sensorimotor transformations across animal species.

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Language(s): eng - English
 Dates: 2020-06-22
 Publication Status: Issued
 Pages: 19
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000548517000010
DOI: 10.1016/j.cub.2020.04.043
 Degree: -

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Project name : grant RGP0027/2016
Grant ID : RGP0027/2016
Funding program : Human Frontier Science Program
Funding organization : -
Project name : Munich Cluster for Systems Neurology (EXC 2145 SyNergy – ID 390857198)
Grant ID : -
Funding program : (390857198)
Funding organization : Deutsche Forschungsgemeinschaft

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Title: Current Biology
  Other : Curr. Biol.
Source Genre: Journal
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Publ. Info: London, UK : Cell Press
Pages: - Volume / Issue: 30 (12) Sequence Number: - Start / End Page: 2321 - 2333.e6 Identifier: ISSN: 0960-9822
CoNE: https://pure.mpg.de/cone/journals/resource/954925579107