High-order sensory processing nanocircuit based on coupled VO2 oscillators

Ke Yang, Yanghao Wang, Pek Jun Tiw, Chaoming Wang, Xiaolong Zou, Rui Yuan, Chang Liu, Ge Li, Chen Ge, Si Wu, Teng Zhang (), Ru Huang and Yuchao Yang ()
Additional contact information
Ke Yang: Peking University
Yanghao Wang: Peking University
Pek Jun Tiw: Peking University
Chaoming Wang: Peking University
Xiaolong Zou: Peking University
Rui Yuan: Peking University
Chang Liu: Peking University
Ge Li: Chinese Academy of Sciences
Chen Ge: Chinese Academy of Sciences
Si Wu: Peking University
Teng Zhang: Peking University
Ru Huang: Peking University
Yuchao Yang: Peking University

Nature Communications, 2024, vol. 15, issue 1, 1-12

Abstract: Abstract Conventional circuit elements are constrained by limitations in area and power efficiency at processing physical signals. Recently, researchers have delved into high-order dynamics and coupled oscillation dynamics utilizing Mott devices, revealing potent nonlinear computing capabilities. However, the intricate yet manageable population dynamics of multiple artificial sensory neurons with spatiotemporal coupling remain unexplored. Here, we present an experimental hardware demonstration featuring a capacitance-coupled VO2 phase-change oscillatory network. This network serves as a continuous-time dynamic system for sensory pre-processing and encodes information in phase differences. Besides, a decision-making module for special post-processing through software simulation is designed to complete a bio-inspired dynamic sensory system. Our experiments provide compelling evidence that this transistor-free coupling network excels in sensory processing tasks such as touch recognition and gesture recognition, achieving significant advantages of fewer devices and lower energy-delay-product compared to conventional methods. This work paves the way towards an efficient and compact neuromorphic sensory system based on nano-scale nonlinear dynamics.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-024-45992-8 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45992-8

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-024-45992-8

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().