Development of Bio-Voltage Operated Humidity-Sensory Neurons Comprising Self-Assembled Peptide Memristors

© 2024 The Author(s). Advanced Materials published by Wiley‐VCH GmbH.

Bibliographische Detailangaben
Veröffentlicht in:Advanced materials (Deerfield Beach, Fla.). - 1998. - 36(2024), 33 vom: 30. Aug., Seite e2405145
1. Verfasser: Lv, Ziyu (VerfasserIn)
Weitere Verfasser: Zhu, Shirui, Wang, Yan, Ren, Yanyun, Luo, Mingtao, Wang, Hanning, Zhang, Guohua, Zhai, Yongbiao, Zhao, Shilong, Zhou, Ye, Jiang, Minghao, Leng, Yan-Bing, Han, Su-Ting
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Advanced materials (Deerfield Beach, Fla.)
Schlagworte:Journal Article artificial neuron humidity‐dependent modulation neuromorphic perception peptide memristor self‐assembled nanowire Peptides
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520 |a Biomimetic humidity sensors offer a low-power approach for respiratory monitoring in early lung-disease diagnosis. However, balancing miniaturization and energy efficiency remains challenging. This study addresses this issue by introducing a bioinspired humidity-sensing neuron comprising a self-assembled peptide nanowire (NW) memristor with unique proton-coupled ion transport. The proposed neuron shows a low Ag+ activation energy owing to the NW and redox activity of the tyrosine (Tyr)-rich peptide in the system, facilitating ultralow electric-field-driven threshold switching and a high energy efficiency. Additionally, Ag+ migration in the system can be controlled by a proton source owing to the hydrophilic nature of the phenolic hydroxyl group in Tyr, enabling the humidity-based control of the conductance state of the memristor. Furthermore, a memristor-based neuromorphic perception neuron that can encode humidity signals into spikes is proposed. The spiking characteristics of this neuron can be modulated to emulate the strength-modulated spike-frequency characteristics of biological neurons. A three-layer spiking neural network with input neurons comprising these highly tunable humidity perception neurons shows an accuracy of 92.68% in lung-disease diagnosis. This study paves the way for developing bioinspired self-assembly strategies to construct neuromorphic perception systems, bridging the gap between artificial and biological sensing and processing paradigms 
650 4 |a Journal Article 
650 4 |a artificial neuron 
650 4 |a humidity‐dependent modulation 
650 4 |a neuromorphic perception 
650 4 |a peptide memristor 
650 4 |a self‐assembled nanowire 
650 7 |a Peptides  |2 NLM 
700 1 |a Zhu, Shirui  |e verfasserin  |4 aut 
700 1 |a Wang, Yan  |e verfasserin  |4 aut 
700 1 |a Ren, Yanyun  |e verfasserin  |4 aut 
700 1 |a Luo, Mingtao  |e verfasserin  |4 aut 
700 1 |a Wang, Hanning  |e verfasserin  |4 aut 
700 1 |a Zhang, Guohua  |e verfasserin  |4 aut 
700 1 |a Zhai, Yongbiao  |e verfasserin  |4 aut 
700 1 |a Zhao, Shilong  |e verfasserin  |4 aut 
700 1 |a Zhou, Ye  |e verfasserin  |4 aut 
700 1 |a Jiang, Minghao  |e verfasserin  |4 aut 
700 1 |a Leng, Yan-Bing  |e verfasserin  |4 aut 
700 1 |a Han, Su-Ting  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Advanced materials (Deerfield Beach, Fla.)  |d 1998  |g 36(2024), 33 vom: 30. Aug., Seite e2405145  |w (DE-627)NLM098206397  |x 1521-4095  |7 nnns 
773 1 8 |g volume:36  |g year:2024  |g number:33  |g day:30  |g month:08  |g pages:e2405145 
856 4 0 |u http://dx.doi.org/10.1002/adma.202405145  |3 Volltext 
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