IWASAKI Yuishi

イワサキユイシ | IWASAKI Yuishi

Affiliation and department：
Job title： Lecturer
Homepage URL (1)： http://ims.dse.ibaraki.ac.jp

Research field (4)： Biophysics , Neuroscience - general , Bio-, chemical, and soft-matter physics , Biological, health, and medical informatics

Research keywords (1)： Bio-Information Science, Systems Biology, Quantitative Biology

Papers (13)：

Yu Toyoshima, Stephen Wu, Manami Kanamori, Hirofumi Sato, Moon Sun Jang, Suzu Oe, Yuko Murakami, Takayuki Teramoto, ChanHyun Park, Yuishi Iwasaki, et al. Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans. BMC Biology. 2020. 18. article No.30. 1-20
Akiko Yamazoe-Umemoto, Yuishi Iwasaki and Koutarou D. Kimura. Measuring Spatiotemporal Dynamics of Odor Gradient for Small Animals by Gas Chromatography. Bio-protocol. 2018. 8. 7. e2797
Yuki Tanimoto, Akiko Yamazoe-Umemoto, Kosuke Fujita, Yuya Kawazoe, Yosuke Miyanishi, Shuhei J. Yamazaki, Xianfeng Fei, Karl Emanuel Busch, Keiko Gengyo-Ando, Junichi Nakai, et al. Calcium dynamics regulating the timing of decision-making in C. elegans. ELIFE. 2017. 6. e21629
Hiromu Sakuma, Takayuki Teramoto, Sayuri Kuge, Takeshi Ishihara, Yuishi Iwasaki. Large Graph Laplacian Matrix and Functional Map of Whole Brain of C. elegans. Proceedings of 2016 International Symposium on Nonlinear Theory and Its Applications. 2016. 696-699
Akiko Yamazoe-Umemoto, Kosuke Fujita, Yuichi Lino, Yuishi Iwasaki, Koutarou D. Kimura. Modulation of different behavioral components by neuropeptide and dopamine signalings in non-associative odor learning of Caenorhabditis elegans. NEUROSCIENCE RESEARCH. 2015. 99. 22-33

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MISC (8)：

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Books (1)：

Effective Modeling of a Partial Neural Network of C.elegans: Theory and Application
International Congress Series 2006

Lectures and oral presentations (55)：

Estimation of functional neuron ensembles for whole-brain activity data in C. elegans
(2023)
Nonlinear neural circuit model of stochastic behavioral choice in C. elegans
(2023)
確率的ブロックモデルに基づく時系列信号クラスタ推定
(第26回情報論的学習理論ワークショップ 2023)
活動同期性に基づく確率的ブロックモデルによる神経クラスタ推定
(日本物理学会第78回年次大会 2023)
生物学的知見に基づいた線虫の神経筋系の屈曲制御モデル
(日本機械学会2023年茨城講演会 2023)

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Education (2)：

1991 - 1996 Keio University Graduate School, Division of Science and Engineering Physics
1987 - 1991 Keio University Faculty of Science and Engineering Department of Physics

Professional career (1)：

Work history (2)：

2014/04 - 茨城大学工学部知能システム工学科講師
1996/05 - 2014/03 Assistant Professor, Department of Intelligent System Engineering, Ibaraki University

Association Membership(s) (2)：

The Physical Society of Japan , The Biophysical Society of Japan

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