教員一覧 List of faculty members
KURIKAWA Tomoki 准教授
KURIKAWA, Tomoki Associate Professor
KURIKAWA Tomoki Associate professor
KURIKAWA TomokiBelongs:
Department of Complex and Intelligent Systems; Complex Systems Information Science
Field of Study
Computational NeuroscienceSubjects in charge (undergraduate)
Linear algebra, complex systems, and information processingBachelor of Science
Doctor (Academic)
KURIKAWA, Tomoki Associate Professor
Affiliation：
Department of Complex and Intelligent Systems
Research Fields
computational neuroscienceAcademic Background
Kansai Medical UniversitySubjects in Charge (Undergraduate)
linear algebra, complex system and information processingDegree
Ph.DResearch Projects
Using neural network models and data assimilation models of neuronal activity, we aim to elucidate the relationship between the behavior and function of the macroscopic nervous system.
The appeal of research
How does complex and seemingly disjointed neural activity give rise to advanced cognitive functions? Perhaps the appeal lies in the fact that we can approach this question, whose very definition is unclear, using models, mathematical sciences, data analysis, and anything else we can think of.
Achievements
- Heisei 21/3 March, 2009 Encouragement Award, Department of Interdisciplinary Sciences, Graduate School of Arts and Sciences, University of Tokyo
- Heisei 22/11 November, 2010 ICONIP2010 Best Student Award
- Heisei 25/2 February, 2013 Inoue Research Encouragement Award
- Heisei 28/7 July, 2016 Japanese Neural Network Society Paper Award
Major publications and papers
- Tomoki Kurikawa, and Kunihiko Kaneko, Generation of context dependent sequences by multiple-timescale neural network through successive bifurcations, Frontiers in Computational Neuroscience, 2021, in press, doi: 10.3389/fncom.2021.743537
- Tomoki Kurikawa, Kenji Mizuseki, Tomoki Fukai, Oscillation-driven memory encoding, maintenance and recall in an entorhinal-hippocampal circuit model, Cerebral Cortex, 31.4, 2038-2057, 2021
- Tomoki Kurikawa, Omri Barak, and Kunihiko Kaneko, Repeated sequential learning increases memory capacity via effective decorrelation in a recurrent neural network, Physical review research, 2, 023307, 2020
- Tomoki Kurikawa, Tatsuya Haga, Takashi Handa, Rie Harukuni and Tomoki Fukai, Neuronal stability in medial frontal cortex sets individual variability in decision-making. Nature Neurosci, vol 21, p1764-1773, 2018
Research Contents
I am interested in understanding the role of the neural activity in congnitive functions by using the artificial neural networks and data-driven models.
Attractive Factors of My Research
How does the incredibly complex activity in the neural system perform the cognitive functions ? This is not well-defined question and, then, attracts us.
Achievements
- IPSJ/SIGSE Research Award (September, 2021)
- IEICE Best Paper Award (June, 2021)
- 13th International Workshop on Software Clones People’s Choice Award (February, 2019)
- 2018 DocGen Challenge runner-ups (Usefulness category) (September, 2018)
- 23rd IEEE International Conference on Program Comprehension Best Tool Demo Award (May 2015)
- 6th International Workshop on Empirical Software Engineering in Practice Best Paper Award (November 2014)
Major Books and Papers
- Yuki Ueda, Takashi Ishio, Kenichi Matsumoto: DevReplay: Linter that Generates Regular Expressions for Repeating Code Changes. Science of Computer Programming, November 2022.
- Ifraz Rehman, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto: Newcomer OSS-Candidates: Characterizing Contributions of Novice Developers to GitHub. Empirical Software Engineering, vol.27, article number 109, May 2022.
- Takashi Ishio, Naoto Maeda, Kensuke Shibuya, Kenho Iwamoto, Katsuro Inoue: NCDSearch: Sliding Window-Based Code Clone Search Using Lempel-Ziv Jaccard Distance. IEICE Transactions on Information and Systems, vol.E105-D, no.5, pp.973-981, May 2022.
- Bodin Chinthanet, Raula Gaikovina Kula, Rodrigo Eliza Zapata, Takashi Ishio, Kenichi Matsumoto, Akinori Ihara: SojiTantei: Function-Call Reachability Detection of Vulnerable Code for Npm Packages. IEICE Transactions on Information and Systems, vol.E105-D, no.1, pp.19—20, January 2022.
- Dong Wang, Yuki Ueda, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto: Can We Benchmark Code Review Studies? A Systematic Mapping Study of Methodology, Dataset, and Metric. Journal of Systems and Software, vol.180, no.111009, October 2021.
- Tao Xiao, Dong Wang, Shane Mcintosh, Hideaki Hata, Raula Gaikovina Kula, Takashi Ishio, and Kenichi Matsumoto: Characterizing and Mitigating Self-Admitted Technical Debt in Build Systems, IEEE Transactions on Software Engineering, Accepted on September 2021.
- Takenouchi, Keita, Takashi Ishio, Joji Okada, and Yuji Sakata: PATSQL: Efficient Synthesis of SQL Queries from Example Tables with Quick Inference of Projected Columns. Proceedings of the VLDB Endowment, vol.14, no.11, pp.1937-1949, August 2021.
- Morita, Hiromu, Toshiki Hirao, Takashi Ishio, Shota Nitta, Yasunao Mori, and Kenichi Matsumoto: Towards Measuring the Impact of Industrial Programming Training on Source Code Quality, コンピュータソフトウェア, vol.38, no.3, pp.75-82, 2021年7月 July, 2021 .
- Bodin Chinthanet, Raula Gaikovina Kula, Shane McIntosh, Takashi Ishio, Akinori Ihara, Kenichi Matsumoto: Lags in the Release, Adoption, and Propagation of Npm Vulnerability Fixes. Empirical Software Engineering, vol.26, article no.47, 28 pages, March 2021.
- Kazumasa Shimari, Takashi Ishio, Tetsuya Kanda, Naoto Ishida, Katsuro Inoue: NOD4J: Near-Omniscient Debugging Tool for Java Using Size-Limited Execution Trace. Science of Computer Programming, vol.206, no.102630, 13 pages, February 2021.
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