Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Taiga Abe"'
Publikováno v:
2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC).
Autor:
Ryan Glassman, Taiga Abe, João Couto, John P. Cunningham, John Zhou, John A. G. Briggs, E. Kelly Buchanan, Liam Paninski, Sian Lee Kitt, Ian Kinsella, Shreya Saxena
Publikováno v:
SSRN Electronic Journal.
A major goal of neuroscience is the development of powerful data analyses that process large datasets. Unfortunately, modern data analyses have a hidden dependence upon complex computing infrastructure (e.g. software dependencies, hardware), that act
Publikováno v:
WI/IAT
Using a new opinion dynamics using the polarity analysis of measured data of Twitter about "toilet paper" and "COVID-19", we analyzed the chain of fear that people feel for the rumor of lack of toilet paper and COVID-19 itself. We use opinion dynamic
Autor:
Ian Kinsella, John P. Cunningham, Liam Paninski, Simon Musall, Shreya Saxena, Anne K. Churchland, Anup Khanal, João Couto, Steven Gluf, Xiaonan R. Sun, Taiga Abe
Publikováno v:
Nature protocols, vol 16, iss 7
Nature protocols 16, 3241–3263 (2021). doi:10.1038/s41596-021-00527-z
Nat Protoc
Nature protocols 16, 3241–3263 (2021). doi:10.1038/s41596-021-00527-z
Nat Protoc
Measurements of neuronal activity across brain areas are important for understanding the neural correlates of cognitive and motor processes like attention, decision-making, and action selection. However, techniques that allow cellular resolution meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::004f7bb145d2fb49c3e88894894c2bb8
http://arxiv.org/abs/2010.15191
http://arxiv.org/abs/2010.15191
Autor:
Ian Kinsella, John P. Cunningham, Liam Paninski, John Zhou, E. Kelly Buchanan, John A. G. Briggs, Taiga Abe, Sian Lee Kitt, Joao Couto, Ryan Glassman, Shreya Saxena
A major goal of computational neuroscience is the development of powerful data analyses that operate on large datasets. These analyses form an essential toolset to derive scientific insights from new experiments. Unfortunately, a major obstacle curre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49d94d5b87e4197ff12cb8e34552a878
https://doi.org/10.1101/2020.06.11.146746
https://doi.org/10.1101/2020.06.11.146746
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2016:1A1-06b5
Publikováno v:
AINA Workshops
Stream data have become ubiquitous with the development of sensing devices, and therefore stream processing technology has also gained significance. A requirement of stream data processing is to provide persistence to stream data. This is simple, how