Journal ArticleDOI
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,Li Qiang Zhu,Xiaodong Chen +10 more
TLDR
An artificial sensory neuron that can integrate and differentiate the spatiotemporal features of touched patterns for recognition is shown, which represents a step toward the design and use of neuromorphic electronic skin with artificial intelligence for robotics and prosthetics.Abstract:
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.read more
Citations
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Journal ArticleDOI
Electronic Skin: Recent Progress and Future Prospects for Skin‐Attachable Devices for Health Monitoring, Robotics, and Prosthetics
TL;DR: Recent progress in electronic skin or e‐skin research is broadly reviewed, focusing on technologies needed in three main applications: skin‐attachable electronics, robotics, and prosthetics.
Journal ArticleDOI
Advanced Soft Materials, Sensor Integrations, and Applications of Wearable Flexible Hybrid Electronics in Healthcare, Energy, and Environment.
Hyo-Ryoung Lim,Hee Seok Kim,Raza Qazi,Raza Qazi,Young-Tae Kwon,Jae-Woong Jeong,Woon-Hong Yeo +6 more
TL;DR: An all-inclusive review of the newly developed WFHE along with a summary of imperative requirements of material properties, sensor capabilities, electronics performance, and skin integrations is provided.
Journal ArticleDOI
Muscle-Inspired Self-Healing Hydrogels for Strain and Temperature Sensor.
Gang Ge,Yao Lu,Xinyu Qu,Wen Zhao,Yanfang Ren,Wenjun Wang,Qian Wang,Wei Huang,Wei Huang,Xiaochen Dong,Xiaochen Dong +10 more
TL;DR: Inspired by the fiber-reinforced microstructures and mechano-transduction systems of human muscles, a self-healing, long-lasting thermal tolerant and dual-sensory hydrogel-based sensor is proposed, with high gauge factor and a flexible touch keyboard for signature identification and a "fever indicator" for human forehead's temperature detection can be realized by this Hydrogel bioelectronic device.
Journal ArticleDOI
A comprehensive review on emerging artificial neuromorphic devices
TL;DR: A comprehensive review on emerging artificial neuromorphic devices and their applications is offered, showing that anion/cation migration-based memristive devices, phase change, and spintronic synapses have been quite mature and possess excellent stability as a memory device, yet they still suffer from challenges in weight updating linearity and symmetry.
Journal ArticleDOI
Recent Advances in Transistor-Based Artificial Synapses
TL;DR: A review of recent advances in transistor‐based artificial synapses is presented to give a guideline for future implementation of synaptic functions with transistors and the main challenges and research directions of transistor‐ based artificial synapse are presented.
References
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Journal ArticleDOI
Machine learning: Trends, perspectives, and prospects
TL;DR: The adoption of data-intensive machine-learning methods can be found throughout science, technology and commerce, leading to more evidence-based decision-making across many walks of life, including health care, manufacturing, education, financial modeling, policing, and marketing.
Journal ArticleDOI
A wearable and highly sensitive pressure sensor with ultrathin gold nanowires
Shu Gong,Willem Heinrich Schwalb,Yongwei Wang,Yi Chen,Yue Tang,Jye Si,Bijan Shirinzadeh,Wenlong Cheng +7 more
TL;DR: An efficient, low-cost fabrication strategy to construct a highly sensitive, flexible pressure sensor by sandwiching ultrathin gold nanowire-impregnated tissue paper between two thin polydimethylsiloxane sheets is reported, enabling facile large-area integration and patterning for mapping spatial pressure distribution.
Journal ArticleDOI
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
Zhongrui Wang,Saumil Joshi,Sergey Savel'ev,Hao Jiang,Rivu Midya,Peng Lin,Miao Hu,Ning Ge,John Paul Strachan,Zhiyong Li,Qing Wu,Mark Barnell,Geng Lin Li,Huolin L. Xin,R. Stanley Williams,Qiangfei Xia,Jianhua Yang +16 more
TL;DR: The diffusive Ag-in-oxide memristor and its dynamics enable a direct emulation of both short- and long-term plasticity of biological synapses, representing an advance in hardware implementation of neuromorphic functionalities.
Journal ArticleDOI
Tactile Sensing—From Humans to Humanoids
TL;DR: Tactile sensing, focused to fingertips and hands until past decade or so, has now been extended to whole body, even though many issues remain open, and various system issues that keep tactile sensing away from widespread utility are discussed.
Journal ArticleDOI
Short-term plasticity and long-term potentiation mimicked in single inorganic synapses
Takeo Ohno,Tsuyoshi Hasegawa,Tohru Tsuruoka,Kazuya Terabe,James K. Gimzewski,James K. Gimzewski,Masakazu Aono +6 more
TL;DR: The discovery of a Ag(2)S inorganic synapse is reported, which emulates the synaptic functions of both STP and LTP characteristics through the use of input pulse repetition time and indicates a breakthrough in mimicking synaptic behaviour essential for the further creation of artificial neural systems that emulate characteristics of human memory.
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