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Machine Learning for Chronic-Stress Symptoms in Preclinical Studies

Augments automated mouse-behaviour analysis with EEG neurophysiology, learning combined representations to identify stress phenotypes and evaluate pharmacological interventions.

Machine Learning for Chronic-Stress Symptoms in Preclinical Studies

Develops machine-learning approaches that combine non-invasive EEG signals with discrete behavioural symptoms in preclinical models. Outputs include a phenotyping platform serving both academic research and commercial applications.