基本信息
浏览量:174
职业迁徙
个人简介
We have been focusing on the development of single-molecule imaging and nano-scale manipulation techniques and their application to the study of biological molecular motors. One of our most important insights on how these motors operate is that they do not filter Brownian noise, instead using this noise to perform robustly. These same techniques have afforded us new understanding on how information is passed intracellularly and how the brain maps a visual stimulus. Noise that is exploited and not filtered we call “yuragi”. Yuragi is exclusive to living organisms, enabling more flexibility and less energy demands for their function. Currently, by collaborating with robotics engineers and information scientists, we are investigating ways to use yuragi in complex information networks such as robots and the internet. By studying yuragi in biological systems and successfully applying yuragi to artificial systems, a better understanding of how biological systems respond efficiently to environmental changes should emerge.
研究兴趣
论文共 630 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Fluctuation-Induced Network Control and Learning (2020)
Yasmine Abouleila,Kaoru Onidani,Ahmed Ali,Hirokazu Shoji,Takayuki Kawai,Chwee Teck Lim, Vipin Kumar, Shinobu Okaya,Ken Kato,Eiso Hiyama,Toshio Yanagida,Tsutomu Masujima,
PROCEEDINGS OF THE JAPAN ACADEMY SERIES B-PHYSICAL AND BIOLOGICAL SCIENCESno. 2 (2017): 51-63
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn