Energy scavenging artificial nervous system for detecting rotational movement
| Autor: | Taehoon Sung, Min Kyu Song, Daehwan Choi, Sukjin Jang, Jang Yeon Kwon |
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| Rok vydání: | 2020 |
| Předmět: |
Vestibular system
Nervous system Materials science Artificial neural network Neuroprosthetics Renewable Energy Sustainability and the Environment Sensory system 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences 0104 chemical sciences medicine.anatomical_structure Synaptic plasticity medicine General Materials Science Electrical and Electronic Engineering 0210 nano-technology Energy harvesting Neuroscience Neurorobotics |
| Zdroj: | Nano Energy. 74:104912 |
| ISSN: | 2211-2855 |
| Popis: | The human sensory nervous system recognizes the change in the external environment and transmits the information to the brain. The brain uses information from the vestibular system in the head, which plays a vital role in the multisensory recognition of balance and orientation. The mimicking of human neural network systems based on biological synapses has emerged as a key technology in bioinspired electronics. This study emulates an energy scavenging artificial nervous system for detecting rotational movement to mimic the functions and mechanisms of the biological semicircular canals. Synaptic transistors realize the biological synaptic plasticity, which can be used to simulate short-to long-term memory transitions and learning processes. Furthermore, by integrating synaptic transistors with triboelectric rotation sensors, we have demonstrated that our artificial nervous system is able to detect rotational movements on the coordinates in real time. This artificial nervous system has promising applications including neurorobotics, soft electronics, and neuroprosthetics. |
| Databáze: | OpenAIRE |
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