An artificial sensory neuron with tactile perceptual learning
| Autor: | Qing Wan, Changjin Wan, Liang Pan, Geng Chen, Yangming Fu, Xiaodong Chen, Li Qiang Zhu, Naoji Matsuhisa, Ming Wang, Hui Yang, Shaowu Pan |
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| Přispěvatelé: | School of Materials Science & Engineering, Innovative Center for Flexible Devices |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Materials science
Sensory Receptor Cells media_common.quotation_subject Interface (computing) Electronic skin Sensory system 02 engineering and technology 010402 general chemistry 01 natural sciences Perceptual learning Artificial Intelligence Perception medicine Artificial Neurons General Materials Science Computer vision media_common Skin Materials [Engineering] business.industry Mechanical Engineering Robotics Tactile perception 021001 nanoscience & nanotechnology Sensory neuron 0104 chemical sciences medicine.anatomical_structure Neuromorphic engineering Mechanics of Materials Touch Artificial intelligence 0210 nano-technology business |
| Popis: | 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. NRF (Natl Research Foundation, S’pore) MOE (Min. of Education, S’pore) Accepted version |
| Databáze: | OpenAIRE |
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