Professor Kantaro Fujiwara

Profile

Kantaro Fujiwara
Kantaro Fujiwara
Project Associate Professor
International Research Center for Neurointelligence, The University of Tokyo
Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo
 
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
Tel: +81-3-5841-8247 (Ext. 28247)
Fax:
 
E-mail:fujiwara@mist.i.u-tokyo.ac.jp
 
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C.V.

March 2008 Graduated from the Doctor Course of the Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo
April 2008 Postdoctoral Fellow of Japan Society for the Promotion of Science (Institute of Industrial Science, The University of Tokyo)
April 2011 Assistant Professor at the Division of Mathematics, Electronics and Informatics, Graduate School of Science and Engineering, Saitama University
April 2014 Assistant Professor at the Department of Management Science, Faculty of Engineering, Tokyo University of Science
April 2018 Project Associate Professor at the International Research Center for Neurointelligence, The University of Tokyo

Research Themes

The main topics are computational neuroscience and data analysis of neural systems.
1. Computational Neuroscience
Mathematical modeling of neural networks. Modeling various neuronal phenomena such as learning and adaptation.
2. Data Analysis of Neural Systems
Establishing mathematical theories and novel analysis method of neuronal data.
3. Biological Information Processing
Mathematical modeling of pancreatic beta cell and diabetes.

Selected Publications

– R. Nomura , Y-Z Liang, K. Morita, K. Fujiwara and T. Ikeguchi, Threshold-varying integrate-and-fire model reproduces distributions of spontaneous blink intervals, PLOS ONE 13, 10, e0206528 (2018)
– T. Kobayashi, Y. Shimada, K. Fujiwara and T. Ikeguchi, Reproducing Infra-Slow Oscillations with Dopaminergic Modulation, Scientific Reports, 7, 2411 (2017)
– H. Ando and K. Fujiwara, Numerical analysis of bursting activity in an isolated pancreatic β-cell model, Nonlinear Theory and its Applications, 7, pp. 217-225 (2016)
– K. Fujiwara, H. Suzuki, T. Ikeguchi and K. Aihara, Method for analyzing time-varying statistics on point process data with multiple trials, Nonlinear Theory and its Applications, 6, pp. 38-46 (2015)