教員一覧 List of faculty members
栗川 知己 准教授
KURIKAWA, Tomoki Associate Professor
栗川 知己 准教授
KURIKAWA Tomoki所属：
複雑系知能学科、 複雑系情報科学領域（大学院）
研究分野
計算論的神経科学担当科目（学部）
線形代数、複雑系と情報処理学位
博士（学術）
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.D研究内容
ニューラルネットワークモデルや神経細胞活動のデータ同化モデルを用いて、マクロな神経系の挙動と機能との関係解明をめざす。
研究の魅力
複雑でとりとめも無い神経活動がどのように高度な認知機能を生むのか？問題の定義すらよくわからない問いに、モデルや数理科学、データ解析、なんでも使ってアプローチできる面白さが魅力でしょうか。
実績
- 平成21年3月 東京大学総合文化研究科広域科学専攻奨励賞
- 平成22年11月 ICONIP2010 Best Student Award
- 平成25年2月 井上研究奨励賞
- 平成28年7月 日本神経回路学会論文賞
主な著作・論文
- 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.
- 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.
