作者: Jonathan Cheung , Phillip Maire , Jinho Kim , Jonathan Sy , Samuel Andrew Hires
DOI: 10.1016/J.CUB.2019.07.068
关键词: Artificial intelligence 、 Tactile perception 、 Whisking in animals 、 Biology 、 Set (psychology) 、 Face (geometry) 、 Mental representation 、 Motor program 、 Computer vision 、 Sensory system 、 Somatosensory system
摘要: Active tactile perception combines directed motion with sensory signals to generate mental representations of objects in space. Competing models exist for how mice use these determine the precise location along their face. We tested six using behavioral manipulations and statistical learning head-fixed mice. Trained used a whisker locate pole continuous range locations anteroposterior axis. Mice discriminated ≤0.5 mm (<2°) resolution. Their motor program was noisy, adaptive touch, rewarded range. This exploration produced several sets sensorimotor features that could discriminate location. Integration two features, touch count whisking midpoint at simplest model explained behavior best. These results show hyperacute resolution learned strategy minimal set mentally accessible features.