Predicting <i>Drosophila</i> Body Orientation from a Translational Trajectory using an Artificial Neural Network

) range. The estimator provides a practical tool for recovering body orientation information from existing trajectory datasets in which only center- of-mass motion was recorded, extending the behavioral and computational analysis of insect navigation to previously inaccessible data.

Authors

Floris van Breugel (ORCID: https://orcid.org/0000-0001-6538-7179)
Christina E. May (ORCID: https://orcid.org/0000-0001-9366-8592)
Katherine I. Nagel (ORCID: https://orcid.org/0000-0002-6701-3901)
Nehal Mangat

Institutions

University of Nevada, Reno (US)
New York University (US)

Publication Details

Journal: bioRxiv (Cold Spring Harbor Laboratory)
Published: 2026-03-31
DOI: https://doi.org/10.64898/2026.03.30.715335
Primary Topic: Biomimetic flight and propulsion mechanisms
Type: article
Field-Weighted Citation Impact: 0.00

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article

Predicting Drosophila Body Orientation from a Translational Trajectory using an Artificial Neural Network

Floris van Breugel, Christina E. May, Katherine I. Nagel, Nehal Mangat

Mar 31, 2026

bioRxiv (Cold Spring Harbor Laboratory)

Biomimetic flight and propulsion mechanisms

article

Predicting Drosophila Body Orientation from a Translational Trajectory using an Artificial Neural Network

Floris van Breugel, Christina E. May, Katherine I. Nagel, Nehal Mangat

March 31, 2026article en

Abstract

) range. The estimator provides a practical tool for recovering body orientation information from existing trajectory datasets in which only center- of-mass motion was recorded, extending the behavioral and computational analysis of insect navigation to previously inaccessible data.

bioRxiv (Cold Spring Harbor Laboratory)

University of Nevada, Reno (US), New York University (US)

Openalex Percentile: Top 23%

Biomimetic flight and propulsion mechanisms

DOI Open Access PDF OpenAlex

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