Validating the Gap-Startle Paradigm for Tinnitus Detection: A Machine Learning Approach in CBA/CaJ Mice
Alyssa B. Price, Dimitri Louis Brunelle, Collin Park, Andrea S. Lowe, Edward Lobarinas, Joseph Walton
This paper validates the gap-startle paradigm for tinnitus detection in mice using machine learning to improve accuracy and address floor effects in GPIAS.
bioRxiv · Sep 9, 2026 · PreprintAnimal Behavior & Cognition