ProfessorsProfessors of Kyoto UniversityJun-nosuke Teramae

Jun-nosuke Teramae

Kyoto University

H-index: 16

Asia-Japan

About Jun-nosuke Teramae

Jun-nosuke Teramae, With an exceptional h-index of 16 and a recent h-index of 10 (since 2020), a distinguished researcher at Kyoto University, specializes in the field of computational neuroscience, nonlinear physics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Dual sampling neural network: Learning without explicit optimization

Computation and learning based on dual stochasticity of the brain

High-density resource-restricted pulse-based IoT networks

The lower bound of the network connectivity guaranteeing in-phase synchronization

Jun-nosuke Teramae Information

University	Kyoto University
Position	___
Citations(all)	1435
Citations(since 2020)	433
Cited By	1177
hIndex(all)	16
hIndex(since 2020)	10
i10Index(all)	17
i10Index(since 2020)	11
Email	Access Email
University Profile Page	Kyoto University
Google Scholar	View Google Scholar Profile

Jun-nosuke Teramae Skills & Research Interests

computational neuroscience

nonlinear physics

Top articles of Jun-nosuke Teramae

Title	Journal	Author(s)	Publication Date
Dual sampling neural network: Learning without explicit optimization	Physical Review Research	Jun-nosuke Teramae Yasuhiro Tsubo	2022/10/21
Computation and learning based on dual stochasticity of the brain	IEICE Technical Report; IEICE Tech. Rep.	Jun-nosuke Teramae	2022/6/2
High-density resource-restricted pulse-based IoT networks	IEEE Transactions on Green Communications and Networking	Ferdinand Peper Kenji Leibnitz Chiemi Tanaka Kentaro Honda Mikio Hasegawa ...	2021/6/17
The lower bound of the network connectivity guaranteeing in-phase synchronization	Chaos: An Interdisciplinary Journal of Nonlinear Science	Ryosuke Yoneda Tsuyoshi Tatsukawa Jun-nosuke Teramae	2021/6/1