Machine Learning for Separating Dopamine and Octopamine Electrochemical Signals in Drosophila.

ABSTRACT: Drosophila melanogaster, the fruit fly, uses the neurotransmitters dopamine and octopamine to mediate learning, enabling adaptive behaviors such as reward seeking and punishment avoidance. Their colocalization in the mushroom bodies makes it challenging to study their individual contributions. Fast-scan cyclic voltammetry allows subsecond monitoring of neurotransmitter dynamics, but simultaneous detection of dopamine and octopamine remains difficult due to overlapping oxidation and reduction peaks in their voltammograms. Traditional signal separation methods, such as principal component regression, assume fixed voltammogram shapes across time. However, this assumption fails for octopamine, which exhibits time-varying voltammograms due to secondary oxidation processes at the same pot

SUBMITTER: Park C 

PROVIDER: S-EPMC12809646 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature