Texture signals in whisker vibrations (original) (raw)

Abstract

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Rodents excel in texture discrimination through whisker vibrations. This research identifies key signals in these vibrations by capturing and analyzing data from both artificial and natural whiskers. A classification algorithm revealed that modulation power and centroid are critical in distinguishing textures. The findings suggest that biological systems efficiently extract relevant features for texture classification.

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