High-throughput automated methods for classical and operant conditioning of Drosophila larvae

High-throughput automated methods for classical and operant conditioning of Drosophila larvae

Learning which stimuli (classical conditioning) or which actions (operant conditioning) predict rewards or punishments can improve chances of survival. However, the circuit mechanisms that underlie distinct types of associative learning are still not fully understood. Automated, high-throughput para...

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Bibliographic Details
Main Authors: Elise C Croteau-Chonka, Michael S Clayton, Lalanti Venkatasubramanian, Samuel N Harris, Benjamin MW Jones, Lakshmi Narayan, Michael Winding, Jean-Baptiste Masson, Marta Zlatic, Kristina T Klein
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2022-10-01
Series:eLife
Subjects:
operant conditioning
trace conditioning
closed-loop tracking
computer vision
behavior detection
Drosophila melanogaster larva
Online Access:https://elifesciences.org/articles/70015

Internet

https://elifesciences.org/articles/70015

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