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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Detalles Bibliográficos
Autores principales: Croteau-Chonka, Elise C, Clayton, Michael S, Venkatasubramanian, Lalanti, Harris, Samuel N, Jones, Benjamin MW, Narayan, Lakshmi, Winding, Michael, Masson, Jean-Baptiste, Zlatic, Marta, Klein, Kristina T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Computational and Systems Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678368/
https://www.ncbi.nlm.nih.gov/pubmed/36305588
http://dx.doi.org/10.7554/eLife.70015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678368/
https://www.ncbi.nlm.nih.gov/pubmed/36305588
http://dx.doi.org/10.7554/eLife.70015

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