Speed and force invariant neuromorphic encodings of tactile signals improve texture classification accuracy, efficiency, and robustness to novel scanning conditions in both offline and real-time human-operated systems.
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Invariant neuromorphic representations of tactile stimuli improve robustness of a real-time texture classification system
Speed and force invariant neuromorphic encodings of tactile signals improve texture classification accuracy, efficiency, and robustness to novel scanning conditions in both offline and real-time human-operated systems.