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Updated: May 11, 2025

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion

Published on: January 15, 2016

Inhibitory control explains locomotor statistics in walking Drosophila.

Hannah C Gattuso¹, Karin A van Hassel¹, Jacob D Freed¹

¹Department of Neuroscience, Neuroscience Institute, New York University School of Medicine, New York, NY 10016.

Proceedings of the National Academy of Sciences of the United States of America

|April 17, 2025

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Fruit flies adjust their walking patterns, like speed and turning, when searching for food. This study identifies specific brain circuits in the fly's premotor area that control these complex search behaviors.

Area of Science:

Neuroscience
Animal Behavior
Computational Biology

Background:

Animals alter locomotor statistics for foraging, switching between dispersal and local search based on resource availability.
The neural mechanisms controlling these locomotor statistics remain largely unknown.

Purpose of the Study:

To analyze and model locomotor statistics in walking fruit flies (Drosophila) and understand how attractive food odor modulates them.
To identify neural circuits regulating these odor-evoked behavioral states.

Main Methods:

Analysis and modeling of locomotor statistics in response to food odor in walking Drosophila.
Genetic manipulation of premotor lateral accessory lobe (LAL) neurons.
Behavioral experiments to observe the effects of neural activation on locomotion.

Keywords:

Drosophila computational model locomotion neuroscience olfaction

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Last Updated: May 11, 2025

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Main Results:

Food odor elicits three distinct motor regimes: baseline walking, upwind running, and post-odor search behavior.
During search, flies exhibit higher angular velocities, slower ground speeds, and prolonged turns.
A computational model suggests contralateral inhibition is key; specific LAL neuron populations were found to control search behaviors and ground speed.

Conclusions:

A biologically plausible computational architecture for fly locomotion across behavioral states has been developed.
Specific neural substrates within the LAL have been identified that regulate key features of odor-driven search behavior and ground speed.