Researcher Database

（Last updated : 2024-04-01 11:26:57）　

TSUBO YASUHIRO

Department / Course College of Information Science and Engineering Department of Information Science and Engineering

Title / Position Professor

Other Affiliations
1.	Research Organization of Science and Technology Center for Systems Vision Science
2.	Research Organization of Science and Technology Robotics Research Center
3.	Graduate School of Information Science and Engineering

Academic background
1.	2004/03 Degree Acquisition	│ Kyoto University Doctor of Science
2.	～1998/03	Faculty of Science │ Kyoto University │ Graduated
3.	～2000/03	Master Course │ Department of Applied Analysis and Complex Dynamical Systems │ Graduate School of Infomatics │ Kyoto University │ Completed
4.	～2004/03	Doctoral Program (2nd Semester) │ Division of Physics and Astronomy │ Graduate School of Science │ Kyoto University │ Completed

Business career
1.	2004/04/01 ～ 2005/03/31	COE researcher │ Research Institute │ Tamagawa University
2.	2005/04/01 ～ 2006/03/31	Researcher │ Brain Science Institute │ RIKEN
3.	2006/04/01 ～ 2013/03/31	Researcher │ Brain Science Institute │ RIKEN
4.	2011/04/01 ～ 2013/03/31	Part-Time Lecturer │ School of Medicine │ Nihon University
5.	2013/04/01 ～ 2016/03/31	Visiting Researcher │ Brain Science Institute │ RIKEN
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Committee and society
1.	2021/03 ～	Frontiers in Neural Circuit Review Editor
2.	2013/12 ～	Frontiers in Computational Neuroscience Review Editor
3.	2017/06 ～	Technical Committee on Complex Communication Sciences, the Institute of Electronics, Information and Communication Engineers Advisor
4.	2020/12/21 ～ 2021/07/01	NOLTA, IEICE, "Special Section on Recent Progress in Nonlinear Theory and Its Applications" Guest Co-Editor
5.	2016/06 ～ 2017/05	Technical Committee on Complex Communication Sciences, the Institute of Electronics, Information and Communication Engineers Chair
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Research activities
1.		Society for Neuroscience
2.		The Institute of Electronics, Information and Communication Engineers
3.		The Japanese Neuroscience Society
4.		Japanese Neural Network Society
5.		The Physical Society of Japan

Present specialized field
Statistical Science, Mathematical physics/ Fundamental condensed matter physics, Biological physics/Chemical physics/Soft matter physics, Neurophysiology / General neuroscience (Keyword：Theoretical Neuroscience, Electrophysiology, Cortical Local Circuit, Information Processing in the Brain, Nonlinear Dynamics, Stochastic Process)

Papers
1.	2022/10/21	Dual sampling neural network: Leaning without explicit optimization │ Physical Review Research │
2.	2022/10/11	Detection and categorization of severe cardiac disorders based solely on heart period measurements │ Scientific Reports │ 12,pp.17019
3.	2022/10/04	A neuronal prospect theory model in the brain reward circuitry │ Nature Communications │ 13,pp.5855
4.	2018/05/08	Different activity patterns in retinal ganglion cells of TRPM1 and mGluR6 knockout mice │ BioMed Research International │ 2018,pp.Article ID 2963232 (6 pages)
5.	2016/05/25	Similarity in Neuronal Firing Regimes across Mammalian Species │ The Journal of Neuroscience │ 36 (21),pp.5736-5747
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Academic conference presentation
1.	2022/07/02	A neuronal prospect theory model in the brain reward circuitry
2.	2021/07/29	The temporal dynamics of human olfactory processing revealed by multivariate pattern analysis of olfactory event related potentials
3.	2020/07/30	Effect of irregular stimulus presentation on periodic tapping
4.	2018/11/22	A physiologically based State Transition Model between Wake, REM-sleep and non-REM-sleep state
5.	2017/11/25	Event-related potential analysis on periodic tapping tasks
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Winning science prize
1.	2011/06	The 3rd International Conference on Cognitive Neurodynamics The 3rd International Conference on Cognitive Neurodynamics, Best Paper Award (Long-tailed statistics of corticocortical EPSPs: Origin and computational role of noise in cortical circuits)
2.	2009/09	the Japanese Neural Network Society The Excellent Research Award of the 19th Conference of the Japanese Neural Network Society (Information Principle Inferred from Irregular Firing of in Vivo Cortical Neurons)

Grants-in-Aid for Scientific Research -KAKENHI-
1.	2010/04 ～ 2013/03	Information processing principle inferred from cortical spike sequences
2.	2008/04 ～ 2010/03	Information processing in hierarchical cortical local circuit
3.	2014/04/01 ～ 2017/03/31	Construction of Adaptive Music Query by Melody Recall in the Brain │ Grant-in-Aid for challenging Exploratory Research

Message
1.	The brain is considered to use a relatively small amount of energy for its efficient information processing. The goal of our researches is to clarify the principle of information processing in the brain: a flexible and “ecological” computer with low power consumption. In particular, we focus on stochastic information processing on a characteristic architecture “cortical local circuit”, which is commonly observed among various cortical areas. To this end, we construct electrical measurement systems for cortical activity, record neural activities by physiological experiments, analyze the data using statistical techniques, construct mathematical models, and extract rules for cortical information processing and nonlinear dynamics. We expect taking various approaches to “cortical local circuits” gives new perspective to physics, engineering, and neuroscience.

E-Mail Address

External Researcher ID
ORCID ID
0000-0002-7013-9409