Conserved behavioral circuits govern high-speed decision-making in wild fish shoals

Abstract

To survive, animals must quickly detect and respond to predators. However, the rules wild animals use to translate sensory cues into evasion decisions remain largely unknown. We developed an automated system to present visual threat stimuli to mixed-species groups of foraging fish in a coral reef. Using hundreds of stimulus presentations to fish from nine families, we show that escape decisions are governed by a conserved set of decision-making rules that transform sensory input into evasive actions. Our methodology allows us to quantitatively analyze these rules, revealing both how they map onto previously studied neural circuits and how they function under dynamic natural conditions.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 12, 2018
Source ID
10.1073/pnas.1809140115

Entities

People

  • Andrew M. Hein
  • Colin R Twomey
  • Iain Couzin
  • Michael Gil
  • Simon A. Levin

Organizations

  • Army Research Office
  • James S. McDonnell Foundation
  • Max Planck Institute for Ornithology
  • Max Planck Society
  • National Oceanic and Atmospheric Administration
  • National Science Foundation
  • Office of Naval Research
  • Princeton University
  • Simons Foundation
  • University of California
  • University of Konstanz
  • University of Pennsylvania

Tags

Readers

  • Aquatic Ecology
  • Neural Network Machine Learning.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.