Decision making: An analogue implementation of a drift-diffusion computation in the Drosophila mushroom body

Nathan Buerkle; James M Jeanne

doi:10.1016/j.cub.2021.09.039

Decision making: An analogue implementation of a drift-diffusion computation in the Drosophila mushroom body

Curr Biol. 2021 Nov 22;31(22):R1479-R1482. doi: 10.1016/j.cub.2021.09.039.

Authors

Nathan Buerkle¹, James M Jeanne²

Affiliations

¹ Department of Neuroscience, Yale University, 333 Cedar Street, New Haven, CT 06510, USA. Electronic address: nathan.buerkle@yale.edu.
² Department of Neuroscience, Yale University, 333 Cedar Street, New Haven, CT 06510, USA. Electronic address: james.jeanne@yale.edu.

PMID: 34813753
DOI: 10.1016/j.cub.2021.09.039

Abstract

A new study combines electrophysiology, optogenetics, and behavior to investigate a decision-making circuit in the fly brain, revealing all the major features predicted by drift-diffusion models. Strikingly, much of this computation takes place subthreshold, independent of action potentials.

Publication types

Comment

MeSH terms

Action Potentials
Animals
Decision Making / physiology
Drosophila / physiology
Drosophila Proteins*
Mushroom Bodies* / physiology

Substances

Drosophila Proteins