Literature DB >> 31866365

Deconstructing Hunting Behavior Reveals a Tightly Coupled Stimulus-Response Loop.

Duncan S Mearns1, Joseph C Donovan2, António M Fernandes2, Julia L Semmelhack3, Herwig Baier4.   

Abstract

Animal behavior often forms sequences, built from simple stereotyped actions and shaped by environmental cues. A comprehensive characterization of the interplay between an animal's movements and its environment is necessary to understand the sensorimotor transformations performed by the brain. Here, we use unsupervised methods to study behavioral sequences in zebrafish larvae. We generate a map of swim bouts, revealing that fish modulate their tail movements along a continuum. During prey capture, larvae produce stereotyped sequences using a subset of bouts from a broader behavioral repertoire. These sequences exhibit low-order transition dynamics and immediately respond to changes in visual cues. Chaining of prey capture bouts is disrupted in visually impaired (lakritz and blumenkohl) mutants, and removing the prey stimulus during ongoing behavior in closed-loop virtual reality causes larvae to immediately abort the hunting sequence. These results suggest that the continuous integration of sensory information is necessary to structure the behavior. This stimulus-response loop serves to bring prey into the anterior dorsal visual field of the larvae. Fish then release a capture strike maneuver comprising a stereotyped jaw movement and tail movements fine-tuned to the distance of the prey. Fish with only one intact eye fail to correctly position the prey in the strike zone, but are able to produce the strike itself. Our analysis shows that short-term integration of binocular visual cues shapes the behavioral dynamics of hunting, thus uncovering the temporal organization of a goal-directed behavior in a vertebrate.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  behavioral sequences; ethology; prey capture; unsupervised machine learning; zebrafish

Mesh:

Year:  2019        PMID: 31866365     DOI: 10.1016/j.cub.2019.11.022

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  24 in total

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