Elements of a stochastic 3D prediction engine in larval zebrafish prey capture

Elements of a stochastic 3D prediction engine in larval zebrafish prey capture

The computational principles underlying predictive capabilities in animals are poorly understood. Here, we wondered whether predictive models mediating prey capture could be reduced to a simple set of sensorimotor rules performed by a primitive organism. For this task, we chose the larval zebrafish,...

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Bibliographic Details
Main Authors: Andrew D Bolton, Martin Haesemeyer, Josua Jordi, Ulrich Schaechtle, Feras A Saad, Vikash K Mansinghka, Joshua B Tenenbaum, Florian Engert
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2019-11-01
Series:eLife
Subjects:
prey capture
prediction
physical models
biological stochasticity
computation
animal cognition
Online Access:https://elifesciences.org/articles/51975

Internet

https://elifesciences.org/articles/51975

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