An Artificial Sensory Neuron with Tactile Perceptual Learning

Changjin Wan, Geng Chen, Yangming Fu, Ming Wang, Naoji Matsuhisa, Shaowu Pan, Liang Pan, Hui Yang, Qing Wan, Liqiang Zhu, Xiaodong Chen

研究成果: Article査読

142 被引用数 (Scopus)


Sensory neurons within skin form an interface between the external physical reality and the inner tactile perception. This interface enables sensory information to be organized identified, and interpreted through perceptual learning—the process whereby the sensing abilities improve through experience. Here, an artificial sensory neuron that can integrate and differentiate the spatiotemporal features of touched patterns for recognition is shown. The system comprises sensing, transmitting, and processing components that are parallel to those found in a sensory neuron. A resistive pressure sensor converts pressure stimuli into electric signals, which are transmitted to a synaptic transistor through interfacial ionic/electronic coupling via a soft ionic conductor. Furthermore, the recognition error rate can be dramatically decreased from 44% to 0.4% by integrating with the machine learning method. This work represents a step toward the design and use of neuromorphic electronic skin with artificial intelligence for robotics and prosthetics.

ジャーナルAdvanced Materials
出版ステータスPublished - 2018 7 26

ASJC Scopus subject areas

  • 材料科学(全般)
  • 材料力学
  • 機械工学


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