Cargando…
Neuromorphic-computing-based adaptive learning using ion dynamics in flexible energy storage devices
High-accuracy neuromorphic devices with adaptive weight adjustment are crucial for high-performance computing. However, limited studies have been conducted on achieving selective and linear synaptic weight updates without changing electrical pulses. Herein, we propose high-accuracy and self-adaptive...
Autores principales: | Zhao, Shufang, Ran, Wenhao, Lou, Zheng, Li, Linlin, Poddar, Swapnadeep, Wang, Lili, Fan, Zhiyong, Shen, Guozhen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646995/ https://www.ncbi.nlm.nih.gov/pubmed/36381217 http://dx.doi.org/10.1093/nsr/nwac158 |
Ejemplares similares
-
A neuromorphic bionic eye with filter-free color vision using hemispherical perovskite nanowire array retina
por: Long, Zhenghao, et al.
Publicado: (2023) -
Flexible energy conversion and storage devices
por: Zhi, Chunyi, et al.
Publicado: (2018) -
Flexible Artificial Optoelectronic Synapse based on Lead‐Free Metal Halide Nanocrystals for Neuromorphic Computing and Color Recognition
por: Li, Ying, et al.
Publicado: (2022) -
Memristive and CMOS Devices for Neuromorphic Computing
por: Milo, Valerio, et al.
Publicado: (2020) -
Paper‐Based Electrodes for Flexible Energy Storage Devices
por: Yao, Bin, et al.
Publicado: (2017)