Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yoshi Nishi"'
Frontiers in Electronics reports on the most recent developments and future trends in the electronics and photonics industry. The issues address CMOS, SOI and wide band gap semiconductor technology, terahertz technology, and bioelectronics, providing
Autor:
Xiaoyan Liu, Liang Zhao, Rui Liu, H.-S. Philip Wong, Shimeng Yu, Peng Huang, Zhe Chen, Bin Gao, Jinfeng Kang, Yoshi Nishi, Zizhen Jane Jiang, Haitong Li, Hong-Yu Henry Chen, Lifeng Liu
Publikováno v:
IEEE Transactions on Electron Devices. 62:3160-3167
3-D resistive switching random access memory (RRAM) is a promising candidate for high-density nonvolatile memory applications, as well as for monolithic 3-D integration interleaved with logic layers. In this paper, we develop a methodology for assess
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae17b9c389a4cfd20f4cbd79aaa27e03
https://doi.org/10.1109/ted.2015.2468602
https://doi.org/10.1109/ted.2015.2468602
Publikováno v:
AIMS Neuroscience, Vol 6, Iss 4, Pp 240-249 (2019)
It is well known that various types of information can be learned and memorized via repetitive training. In brain information science, it is very important to determine how neuronal networks comprising neurons with fluctuating characteristics reliabl
Externí odkaz:
https://doaj.org/article/8279966967304b1d900ee015399599f2
Publikováno v:
AIMS Neuroscience, Vol 5, Iss 1, Pp 18-31 (2017)
Neuronal networks have fluctuating characteristics, unlike the stable characteristics seen in computers. The underlying mechanisms that drive reliable communication among neuronal networks and their ability to perform intelligible tasks remain unknow
Externí odkaz:
https://doaj.org/article/ae8e54b009364492ba24046880458931
Publikováno v:
AIMS Neuroscience, Vol 4, Iss 4, Pp 238-253 (2017)
To deepen the understanding of the human brain, many researchers have created a new way of analyzing neural data. In many previous studies, researchers have examined neural networks from a macroscopic point of view, based on neuronal firing patterns.
Externí odkaz:
https://doaj.org/article/d1bb96c9809848e0acc92cd7e764ca36
Publikováno v:
AIMS Neuroscience, Vol 3, Iss 4, Pp 474-486 (2016)
Although intercommunication among the different areas of the brain is well known, the rules of communication in the brain are not clear. Many previous studies have examined the firing patterns of neural networks in general, while we have examined the
Externí odkaz:
https://doaj.org/article/e168197bd7f748c891cb78dc1a8de737
Publikováno v:
AIMS Neuroscience, Vol 4, Iss 1, Pp 1-13 (2016)
In brain information science, it is still unclear how multiple data can be stored and transmitted in ambiguously behaving neuronal networks. In the present study, we analyze the spatiotemporal propagation of spike trains in neuronal networks. Recentl
Externí odkaz:
https://doaj.org/article/b568cbd806224c74a35ea92b829dd12c
Publikováno v:
AIMS Neuroscience, Vol 3, Iss 4, Pp 385-397 (2016)
It remains a mystery how neural networks composed of neurons with fluctuating characteristics can reliably transmit information. In this study, we simulated a 9 × 9 2D mesh neural network consisting of an integrate-and-fire model without leak, and c
Externí odkaz:
https://doaj.org/article/b0013e8936714121a04ff9501d494d86