Deep attention networks reveal the rules of collective motion in zebrafish.
A variety of simple models has been proposed to understand the collective motion of animals. These models can be insightful but may lack important elements necessary to predict the motion of each individual in the collective. Adding more detail increases predictability but can make models too comple...
Main Authors: | Francisco J H Heras, Francisco Romero-Ferrero, Robert C Hinz, Gonzalo G de Polavieja |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2019-09-01
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Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1007354 |
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