Engineering and Technology

An artificial sensory neuron with visual-haptic fusion

C. Wan, P. Cai, et al.

Explore the groundbreaking work of Changjin Wan, Pingqiang Cai, Xintong Guo, Ming Wang, Naoji Matsuhisa, Le Yang, Zhisheng Lv, Yifei Luo, Xian Jun Loh, and Xiaodong Chen as they unveil the bimodal artificial sensory neuron (BASE) that revolutionizes visual-haptic fusion. This innovative design integrates optic and pressure data to control myotubes and robotic hands, enhancing pattern recognition in cyborg and neuromorphic systems.

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Index

Abstract

This paper presents the development of a bimodal artificial sensory neuron (BASE) capable of visual-haptic fusion. The BASE integrates optic and pressure information via a synaptic transistor, enabling multi-level excitation through synchronized sensory cues. This allows for the control of skeletal myotubes and a robotic hand. Simulations demonstrate enhanced pattern recognition capabilities with fused cues. The biomimetic design holds promise for advancements in cyborg and neuromorphic systems.

Publisher

Nature Communications

Published On

Sep 14, 2020

Authors

Changjin Wan, Pingqiang Cai, Xintong Guo, Ming Wang, Naoji Matsuhisa, Le Yang, Zhisheng Lv, Yifei Luo, Xian Jun Loh, Xiaodong Chen

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