Power-Efficient Multisensory Reservoir Computing Based on Zr-Doped HfO2 Memcapacitive Synapse Arrays
© 2023 Wiley-VCH GmbH..
Hardware implementation tailored to requirements in reservoir computing would facilitate lightweight and powerful temporal processing. Capacitive reservoirs would boost power efficiency due to their ultralow static power consumption but have not been experimentally exploited yet. Here, this work reports an oxide-based memcapacitive synapse (OMC) based on Zr-doped HfO2 (HZO) for a power-efficient and multisensory processing reservoir computing system. The nonlinearity and state richness required for reservoir computing could originate from the capacitively coupled polarization switching and charge trapping of hafnium-oxide-based devices. The power consumption (≈113.4 fJ per spike) and temporal processing versatility outperform most resistive reservoirs. This system is verified by common benchmark tasks, and it exhibits high accuracy (>94%) in recognizing multisensory information, including acoustic, electrophysiological, and mechanic modalities. As a proof-of-concept, a touchless user interface for virtual shopping based on the OMC-based reservoir computing system is demonstrated, benefiting from its interference-robust acoustic and electrophysiological perception. These results shed light on the development of highly power-efficient human-machine interfaces and machine-learning platforms.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:35 |
|---|---|
| Enthalten in: |
Advanced materials (Deerfield Beach, Fla.) - 35(2023), 41 vom: 12. Okt., Seite e2305609 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Pei, Mengjiao [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Human−computer interfaces |
|---|
| Anmerkungen: |
Date Revised 12.10.2023 published: Print-Electronic Citation Status Publisher |
|---|
| doi: |
10.1002/adma.202305609 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM360717950 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM360717950 | ||
| 003 | DE-627 | ||
| 005 | 20231226083615.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1002/adma.202305609 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1202.xml |
| 035 | |a (DE-627)NLM360717950 | ||
| 035 | |a (NLM)37572299 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Pei, Mengjiao |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Power-Efficient Multisensory Reservoir Computing Based on Zr-Doped HfO2 Memcapacitive Synapse Arrays |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 12.10.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status Publisher | ||
| 520 | |a © 2023 Wiley-VCH GmbH. | ||
| 520 | |a Hardware implementation tailored to requirements in reservoir computing would facilitate lightweight and powerful temporal processing. Capacitive reservoirs would boost power efficiency due to their ultralow static power consumption but have not been experimentally exploited yet. Here, this work reports an oxide-based memcapacitive synapse (OMC) based on Zr-doped HfO2 (HZO) for a power-efficient and multisensory processing reservoir computing system. The nonlinearity and state richness required for reservoir computing could originate from the capacitively coupled polarization switching and charge trapping of hafnium-oxide-based devices. The power consumption (≈113.4 fJ per spike) and temporal processing versatility outperform most resistive reservoirs. This system is verified by common benchmark tasks, and it exhibits high accuracy (>94%) in recognizing multisensory information, including acoustic, electrophysiological, and mechanic modalities. As a proof-of-concept, a touchless user interface for virtual shopping based on the OMC-based reservoir computing system is demonstrated, benefiting from its interference-robust acoustic and electrophysiological perception. These results shed light on the development of highly power-efficient human-machine interfaces and machine-learning platforms | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a human−computer interfaces | |
| 650 | 4 | |a memcapacitive synapses | |
| 650 | 4 | |a multisensory recognition | |
| 650 | 4 | |a neuromorphic electronics | |
| 650 | 4 | |a reservoir computing | |
| 700 | 1 | |a Zhu, Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Siyao |e verfasserin |4 aut | |
| 700 | 1 | |a Cui, Hangyuan |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Yating |e verfasserin |4 aut | |
| 700 | 1 | |a Yan, Yang |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Yun |e verfasserin |4 aut | |
| 700 | 1 | |a Wan, Changjin |e verfasserin |4 aut | |
| 700 | 1 | |a Wan, Qing |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Advanced materials (Deerfield Beach, Fla.) |d 1998 |g 35(2023), 41 vom: 12. Okt., Seite e2305609 |w (DE-627)NLM098206397 |x 1521-4095 |7 nnns |
| 773 | 1 | 8 | |g volume:35 |g year:2023 |g number:41 |g day:12 |g month:10 |g pages:e2305609 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1002/adma.202305609 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 35 |j 2023 |e 41 |b 12 |c 10 |h e2305609 | ||