Efficient fusion of spiking neural networks and FET-type gas sensors for a fast and reliable artificial olfactory system

Kwon, Dongseok; Jung, Gyuweon; Shin, Wonjun; Jeong, Yujeong; Hong, Seongbin; Oh, Seongbin; Kim, Jaehyeon; Bae, Jong-Ho; Park, Byung‐Gook; Lee, Jong-Ho

doi:10.1016/j.snb.2021.130419

Cited by 27 publications

(13 citation statements)

References 34 publications

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“…The system exhibits stable room-temperature responses to NH 3 , H 2 S, and humidity and exhibits good selectivities in trace-level gas sensing. Kwon et al [ 125 ] proposed an artificial olfactory system based on a spiking neural network (SNN) and FET-type gas sensors for quickly and reliably detecting toxic gases. The FET-type gas sensors with an In 2 O 3 film as sensing material were fabricated to detect NO 2 and H 2 S gases.…”

Section: Artificial Perception System Based On Neuromorphic Transistorsmentioning

confidence: 99%

“…In current researches, various materials have been used to prepare high-performance transistor-based gas sensors, including graphene, carbon nanotubes (CNT), In 2 O 3 film, amorphous indium gallium zinc oxide and 2D materials (MoS 2 ), and so on. Furthermore, artificial olfactory perception system is constructed based on various mechanisms, including artificial network algorithm for odor pattern recognition, artificial electronic nose constructed by integrating synaptic memory and gas detection function of neuromorphic transistors [ 125 , 126 ]. Unfortunately, most of the current transistor-based gas sensors just convert gas concentrations into electrical signals.…”

Section: Artificial Perception System Based On Neuromorphic Transistorsmentioning

confidence: 99%

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Recent advances in neuromorphic transistors for artificial perception applications

Wang

Zhu

2022

Science and Technology of Advanced Materials

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Conventional von Neumann architecture is insufficient in establishing artificial intelligence (AI) in terms of energy efficiency, computing in memory and dynamic learning. Delightedly, rapid developments in neuromorphic computing provide a new paradigm to solve this dilemma. Furthermore, neuromorphic devices that can realize synaptic plasticity and neuromorphic function have extraordinary significance for neuromorphic system. A three-terminal neuromorphic transistor is one of the typical representatives. In addition, human body has five senses, including vision, touch, auditory sense, olfactory sense and gustatory sense, providing abundant information for brain. Inspired by the human perception system, developments in artificial perception system will give new vitality to intelligent robots. This review discusses the operation mechanism, function and application of neuromorphic transistors. The latest progresses in artificial perception systems based on neuromorphic transistors are provided. Finally, the opportunities and challenges of artificial perception systems are summarized.

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Section: Artificial Perception System Based On Neuromorphic Transistorsmentioning

confidence: 99%

Section: Artificial Perception System Based On Neuromorphic Transistorsmentioning

confidence: 99%

Recent advances in neuromorphic transistors for artificial perception applications

Wang

Zhu

2022

Science and Technology of Advanced Materials

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“…In another study based on SNNs, Kwon et al presented a synthetic in-sensor olfactory system for the fast and reliable detection of toxic gases. [208] Figure 12a displays a schematic 2D cross-sectional view and an SEM image of the three-terminal gas sensor. The floating and control gates were staggered and had a high coupling ratio, and the gas response and recovery Reproduced with permission.…”

Section: Artificial Olfactory and In-sensor Computing Systemmentioning

confidence: 99%

Three‐Terminal Artificial Olfactory Sensors based on Emerging Materials: Mechanism and Application

Duan

Huang

Feng

et al. 2023

Adv Funct Materials

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Over the past several years, a variety of hardware-based artificial sensory systems, including artificial skin, electronic noses, and artificial retinas, have attracted considerable research interest in advanced artificial intelligence systems. The integration of sensing and computing functions in single or multiple connected self-adaptive field-effect transistor (FET)-structured sensory devices to implement artificial olfactory systems for in-sensor computing has recently attracted increasing attention. In this review, the development status of FET-based gas sensory devices is focused on. The mechanisms of sensory FET devices, gas-recognition materials, strategies for improving sensing performance, and the integration of sensory devices into the artificial olfactory system are discussed. Finally, the further development of FET-based sensory devices for artificial olfactory systems and their great potential for next-generation intelligent sensory systems are discussed in broad fields such as environmental monitoring, health care, and military industries.

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“…An artificial olfactory system based on a spiking neural network (SNN) and FET‐type gas sensors for fast and reliable detection of NO 2 ware proposed by Kwon et al. [ 149 ] The FET‐type gas sensors with an In 2 O 3 film were fabricated to detect NO 2 gas. It was shown that the proposed SNN has significant immunity to the inevitable read fluctuation of the gas sensor.…”

Section: Applications Of Bioelectronic Nosementioning

confidence: 99%

Artificial Olfactory Biohybrid System: An Evolving Sense of Smell

Qin

Wang

et al. 2022

Advanced Science

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The olfactory system can detect and recognize tens of thousands of volatile organic compounds (VOCs) at low concentrations in complex environments. Bioelectronic nose (B-EN), which mimics olfactory systems, is becoming an emerging sensing technology for identifying VOCs with sensitivity and specificity. B-ENs integrate electronic sensors with bioreceptors and pattern recognition technologies to enable medical diagnosis, public security, environmental monitoring, and food safety. However, there is currently no commercially available B-EN on the market. Apart from the high selectivity and sensitivity necessary for volatile organic compound analysis, commercial B-ENs must overcome issues impacting sensor operation and other problems associated with odor localization. The emergence of nanotechnology has provided a novel research concept for addressing these problems. In this work, the structure and operational mechanisms of biomimetic olfactory systems are discussed, with an emphasis on the development and immobilization of materials. Various biosensor applications and current developments are reviewed. Challenges and opportunities for fulfilling the potential of artificial olfactory biohybrid systems in fundamental and practical research are investigated in greater depth.

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Efficient fusion of spiking neural networks and FET-type gas sensors for a fast and reliable artificial olfactory system

Cited by 27 publications

References 34 publications

Recent advances in neuromorphic transistors for artificial perception applications

Recent advances in neuromorphic transistors for artificial perception applications

Three‐Terminal Artificial Olfactory Sensors based on Emerging Materials: Mechanism and Application

Artificial Olfactory Biohybrid System: An Evolving Sense of Smell

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