Deterministic Multimodal Perturbation Enables Neuromorphic-Compatible Signal Multiplexing
- Authors
- UIJINKIM; DONGHAE HO; YOONYOUNG CHOI; YONGSUK CHOI; DONGGUEROE; YongHyun Kwon; Seongchan Kim; Young Jun Choi; YEJINHEO; SAEBYEOK JO; Geun Yeol Bar; Taeyoon Lee; Jeong Ho Cho
- Issue Date
- Jan-2022
- Publisher
- American Chemical Society
- Keywords
- MXene; Multisensory integratin; Artificial synapse; Humidex; Neuromorphic system
- Citation
- ACS Materials Letters, v.4, no.1, pp 102 - 110
- Pages
- 9
- Journal Title
- ACS Materials Letters
- Volume
- 4
- Number
- 1
- Start Page
- 102
- End Page
- 110
- URI
- https://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/6703
- DOI
- 10.1021/acsmaterialslett.1c00586
- ISSN
- 2639-4979
2639-4979
- Abstract
- Human multisensory neurons integrate multiple sensory information obtained from the external environment for precise interpretation of an event. Inspired by biological multisensory integration/multiplexing behavior, an artificial multimodal integration system capable of emulating the perception of discomfort based on the integration of multiple sensory signals is presented. The system utilizes a sensory ring oscillator that concisely and efficiently integrates thermosensory and hygrosensory signals from artificial receptors into voltage pulses whose amplitude and frequency reflect the two individual sensory signals. Subsequently, a synaptic transistor translates voltage pulses into a postsynaptic current, which exhibits a high correlation with the calculated humidex. Finally, the feasibility of the artificial multimodal integration system is successfully demonstrated using light-emitting diode discomfort indicators, suggesting that the proposed system can act as a foundation for future studies pertaining to neuromorphic perception and complex neurorobotics.
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Collections - College of Engineering > 공과대학 화공생명공학부 > 공과대학 화공생명공학과 > 1. Journal Articles

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