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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
Tags
bimodal
artificial sensory neuron
visual-haptic fusion
robotic hand
pattern recognition
biomimetic design
neuromorphic systems
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