Journal of neuroscience methodsAnimalsZebrafishSeizuresBehaviorAnimal
Comparing human annotation and machine learning models for optimizing zebrafish behavioral classification in seizure analysis.
Barbara D Fontana, Camilla W Pretzel, Mariana L Müller, Kimberly Fontoura, Khadija A Mohammed, Eduarda T Saccol, Falco L Gonçalves, Angela E Uchoa, Carolina C Jardim, Isabella P Silva, Rossano M Silva, Hevelyn S Moraes, Cássio M Resmim, Julia Canzian, Denis B Rosemberg
Published: 202610.1016/j.jneumeth.2025.110603
Abstract
BACKGROUND: Accurate and scalable behavioral annotation remains a challenge in behavioral neuroscience. Manual scoring is time-consuming, variable across annotators, and may overlook transient behaviors critical for phenotyping. By learning from anno…
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