Mahmood Amiri

This study uses electrophysiological data from a rat model to classify AD transgenic rats from wild-type using machine learning, finding that both low and high frequency signals contribute to accurate classification.

This study investigates how different types of tactile friction affect EEG non-linear features and finds that non-linear indices can distinguish between static, dynamic, and no friction states.