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  Retinotectal circuitry of larval zebrafish is adapted to detection and pursuit of prey

Förster, D., Helmbrecht, T. O., Mearns, D. S., Jordan, L., Mokayes, N., & Baier, H. (2020). Retinotectal circuitry of larval zebrafish is adapted to detection and pursuit of prey. eLife, 9: e58596. doi:10.7554/eLife.58596.

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 Creators:
Förster, Dominique1, Author           
Helmbrecht, Thomas O.1, Author           
Mearns, Duncan S.1, Author           
Jordan, Linda1, Author           
Mokayes, Nouwar1, Author           
Baier, Herwig1, Author           
Affiliations:
1Department: Genes-Circuits-Behavior / Baier, MPI of Neurobiology, Max Planck Society, Am Klopferspitz 18, 82152 Martinsried, DE, ou_1128545              

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Free keywords: HUNTING BEHAVIOR; CAPTURE BEHAVIOR; TECTUM; NEURONS; PLATFORM; REVEALS; NUCLEUS; VISIONLife Sciences & Biomedicine - Other Topics;
 Abstract: Retinal axon projections form a map of the visual environment in the tectum. A zebrafish larva typically detects a prey object in its peripheral visual field. As it turns and swims towards the prey, the stimulus enters the central, binocular area, and seemingly expands in size. By volumetric calcium imaging, we show that posterior tectal neurons, which serve to detect prey at a distance, tend to respond to small objects and intrinsically compute their direction of movement. Neurons in anterior tectum, where the prey image is represented shortly before the capture strike, are tuned to larger object sizes and are frequently not direction-selective, indicating that mainly interocular comparisons serve to compute an object's movement at close range. The tectal feature map originates from a linear combination of diverse, functionally specialized, lamina-specific, and topographically ordered retinal ganglion cell synaptic inputs. We conclude that local cell-type composition and connectivity across the tectum are adapted to the processing of locationdependent, behaviorally relevant object features.

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Language(s): eng - English
 Dates: 2020-10-12
 Publication Status: Issued
 Pages: 26
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000580627100001
DOI: 10.7554/eLife.58596
 Degree: -

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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 9 Sequence Number: e58596 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X