TrackUSF, a novel tool for automated ultrasonic vocalization analysis, reveals modified calls in a rat model of autism.

Shai NetserGuy NahardiyaGili Weiss-DickerRoei DadushYizhaq GousshaShanah Rachel JohnMor TaubYuval WerberNir SapirYossi YovelHala Harony-NicolasJoseph D BuxbaumLior CohenKoby CrammerShlomo Wagner

Published in: BMC biology (2022)

TrackUSF is a simple and easy-to-use system that may be used for a high-throughput comparison of ultrasonic vocalizations between groups of animals of any kind in any setting, with no prior assumptions.

Keyphrases

high throughput
autism spectrum disorder
single cell
intellectual disability
machine learning
deep learning
clinical evaluation