Spatial-photonic Ising machine by space-division multiplexing with physically tunable coefficients of a multi-component model
Takumi Sakabe, Suguru Shimomura, Yusuke Ogura, Ken-ichi Okubo, Hiroshi Yamashita, Hideyuki Suzuki, Jun Tanida
Optics Express 31 (2023), 44127-44138.
[ doi: 10.1364/OE.508069 ]
Low-rank combinatorial optimization and statistical learning by spatial photonic Ising machine
Hiroshi Yamashita, Ken-ichi Okubo, Suguru Shimomura, Yusuke Ogura, Jun Tanida, Hideyuki Suzuki
Physical Review Letters 131 (2023), 063801.
[ doi: 10.1103/PhysRevLett.131.063801 ]
Entropic herding
Hiroshi Yamashita, Hideyuki Suzuki, Kazuyuki Aihara
Statistics and Computing 33 (2023), 31.
[ doi: 10.1007/s11222-022-10199-8 ]
Extended dynamic mode decomposition with dictionary learning using neural ordinary differential equations
Hiroaki Terao, Sho Shirasaka, Hideyuki Suzuki
Nonlinear Theory and Its Applications, IEICE, 12 (2021), 626–638.
[ doi: 10.1587/nolta.12.626 ]
Optimizing input mask for maximum memory performance of time-delay reservoir subjected to state noise
Zichen Kang, Sho Shirasaka, Hideyuki Suzuki
Nonlinear Theory and Its Applications, IEICE, 12 (2021), 662–673.
[ doi: 10.1587/nolta.12.662 ]
Accelerating Numerical Simulation of Continuous-Time Boolean Satisfiability Solver Using Discrete Gradient
Hiroshi Yamashita, Kazuyuki Aihara, Hideyuki Suzuki
Communications in Nonlinear Science and Numerical Simulation (2021), 105908.
[ doi: 10.1016/j.cnsns.2021.105908 ]
Spatiotemporal model for FRET networks with multiple donors and acceptors: Multicomponent exponential decay derived from the master equation
Masaki Nakagawa, Yuki Miyata, Naoya Tate, Takahiro Nishimura, Suguru Shimomura, Sho Shirasaka, Jun Tanida, Hideyuki Suzuki
Journal of the Optical Society of America B 38 (2021), 294–299.
[ doi: 10.1364/JOSAB.410658 ]
Timescales of boolean satisfiability solver using continuous-time dynamical system
Hiroshi Yamashita, Kazuyuki Aihara, Hideyuki Suzuki
Communications in Nonlinear Science and Numerical Simulation (2020), 105183.
[ doi: 10.1016/j.cnsns.2020.105183 ]
Convergence analysis of herded-Gibbs-type sampling algorithms: effects of weight sharing
Hiroshi Yamashita, Hideyuki Suzuki
Statistics and Computing 29 (2019), 1035–1053.
[ doi: 10.1007/s11222-019-09852-6 ]
Task-dependent recurrent dynamics in visual cortex
Satohiro Tajima, Kowa Koida, Chihiro I. Tajima, Hideyuki Suzuki, Kazuyuki Aihara, Hidehiko Komatsu
eLife 6 (2017), e26868.
[ doi: 10.7554/eLife.26868 ]
Hamiltonian Monte Carlo with explicit, reversible, and volume-preserving adaptive step size control
Michiko Okudo, Hideyuki Suzuki
JSIAM Letters 9 (2017), 33–36.
[ doi: 10.14495/jsiaml.9.33 ]
Smoothing effect for spatially distributed renewable resources and its impact on power grid robustness
Motoki Nagata, Yoshito Hirata, Naoya Fujiwara, Gouhei Tanaka, Hideyuki Suzuki, Kazuyuki Aihara
Chaos 27 (2017), 033104.
[ doi: 10.1063/1.4977510 ]
Enhancing synchronization stability in a multi-area power grid
Bing Wang, Hideyuki Suzuki, Kazuyuki Aihara
Scientific Reports 6 (2016), 26596.
[ doi: 10.1038/srep26596 ]
Population code dynamics in categorical perception
Chihiro I. Tajima, Satohiro Tajima, Kowa Koida, Hidehiko Komatsu, Kazuyuki Aihara, Hideyuki Suzuki
Scientific Reports 6 (2016), 22536.
[ doi: 10.1038/srep22536 ]
A Lyapunov-type theorem for dissipative numerical integrators with adaptive time-stepping
Shun Sato, Takayasu Matsuo, Hideyuki Suzuki, Daisuke Furihata
SIAM Journal on Numerical Analysis 53 (2015), 2505-2518.
[ doi: 10.1137/140996719 ]
Parsimonious description for predicting high-dimensional dynamics
Yoshito Hirata, Tomoya Takeuchi, Shunsuke Horai, Hideyuki Suzuki, Kazuyuki Aihara
Scientific Reports 5 (2015), 15736.
[ doi: 10.1038/srep15736 ]
Chaotic billiard dynamics for herding
Hideyuki Suzuki
Nonlinear Theory and Its Applications, IEICE, 6 (2015), 466–474.
[ doi: 10.1587/nolta.6.466 ]
Tracking time evolution of collective attention clusters in Twitter: Time evolving nonnegative matrix factorisation
Shota Saito, Yoshito Hirata, Kazutoshi Sasahara, Hideyuki Suzuki
PLoS ONE 10 (2015), e0139085.
[ doi: 10.1371/journal.pone.0139085 ]
Approximating high-dimensional dynamics by barycentric coordinates with linear programming
Yoshito Hirata, Masanori Shiro, Nozomu Takahashi, Kazuyuki Aihara, Hideyuki Suzuki, Paloma Mas
Chaos 25 (2015), 013114
[ doi: 10.1063/1.4906746 ]
Comparison between mathematical models of intermittent androgen suppression for prostate cancer
Takuma Hatano, Yoshito Hirata, Hideyuki Suzuki, Kazuyuki Aihara
Journal of Theoretical Biology 366 (2015), 33–45.
[ doi: 10.1016/j.jtbi.2014.10.034 ]
Method for analyzing time-varying statistics on point process data with multiple trials
Kantaro Fujiwara, Hideyuki Suzuki, Tohru Ikeguchi, Kazuyuki Aihara
Nonlinear Theory and Its Applications, IEICE, 6 (2015), 38–46.
[ doi: 10.1587/nolta.6.38 ]
Public opinion formation with the spiral of silence on complex social networks
Daiki Takeuchi, Gouhei Tanaka, Ryo Fujie, Hideyuki Suzuki
Nonlinear Theory and Its Applications, IEICE, 6 (2015), 15–25.
[ doi: 10.1587/nolta.6.15 ]
Dynamics of load balancing with constraints
Hideyuki Suzuki
European Physical Journal Special Topics 223 (2014), 2631-2635.
[ doi: 10.1140/epjst/e2014-02278-7 ]
Node-wise robustness against fluctuations of power consumption in power grids
Motoki Nagata, Naoya Fujiwara, Gouhei Tanaka, Hideyuki Suzuki, Eiichi Kohda, Kazuyuki Aihara
European Physical Journal Special Topics 223 (2014), 2549-2559.
[ doi: 10.1140/epjst/e2014-02215-x ]
Predicting multivariate time series in real time with confidence intervals: Applications to renewable energy
Yoshito Hirata, Kazuyuki Aihara, Hideyuki Suzuki
European Physical Journal Special Topics 223 (2014), 2451-2460.
[ doi: 10.1140/epjst/e2014-02210-3 ]
Epidemic spread in interconnected metapopulation networks
Bing Wang, Gouhei Tanaka, Hideyuki Suzuki, Kazuyuki Aihara
Physical Review E 90 (2014), 032806.
[ doi: 10.1103/PhysRevE.90.032806 ]
Online multi-step prediction for wind speeds and solar irradiation: Evaluation of prediction errors
Yoshito Hirata, Taiji Yamada, Jun Takahashi, Kazuyuki Aihara, Hideyuki Suzuki
Renewable Energy 67 (2014), 35–39.
[ doi: 10.1016/j.renene.2013.11.034 ]
A traffic cellular automaton with estimation of time to collision
Yohei Taniguchi, Hideyuki Suzuki
Journal of Cellular Automata 8 (2013), 407–416.
Monte Carlo simulation of classical spin models with chaotic billiards
Hideyuki Suzuki
Physical Review E 88 (2013), 052144.
[ doi: 10.1103/PhysRevE.88.052144 | arXiv:1308.0660 ]
Evaluating roles of nodes in optimal allocation of vaccines with economic considerations
Bing Wang, Hideyuki Suzuki, Kazuyuki Aihara
PLoS ONE 8 (2013), e70793.
[ doi: 10.1371/journal.pone.0070793 ]
Chaotic Boltzmann machines
Hideyuki Suzuki, Jun-ichi Imura, Yoshihiko Horio, Kazuyuki Aihara
Scientific Reports 3 (2013), 1610.
[ doi: 10.1038/srep01610 | PubMed: 23558425 ]
Change-point detection with recurrence networks
Koji Iwayama, Yoshito Hirata Hideyuki Suzuki, Kazuyuki Aihara
Nonlinear Theory and Its Applications, IEICE 4 (2013), 160-171.
[ doi: 10.1587/nolta.4.160 ]
Chaotic Ising-like dynamics in traffic signals
Hideyuki Suzuki, Jun-ichi Imura, Kazuyuki Aihara
Scientific Reports 3 (2013), 1127.
[ doi: 10.1038/srep01127 | PubMed: 23350034 ]
Indirect reciprocity with trinary reputations
Shoma Tanabe, Hideyuki Suzuki, Naoki Masuda
Journal of Theoretical Biology 317 (2013), 338-347.
[ doi: 10.1016/j.jtbi.2012.10.031 | PubMed: 23123557 ]
Safety-information-driven human mobility patterns with metapopulation epidemic dynamics
Bing Wang, Lang Cao, Hideyuki Suzuki, Kazuyuki Aihara
Scientific Reports 2 (2012), 887.
[ doi: 10.1038/srep00887 | PubMed: 23189237 ]
Real-time multi-step predictors from data streams
Yoshito Hirata, Taiji Yamada, Jun Takahashi, Hideyuki Suzuki
Physics Letters A 376 (2012), 3092-3097.
[ doi: 10.1016/j.physleta.2012.08.058 ]
Impacts of clustering on interacting epidemics
Bing Wang, Lang Cao, Hideyuki Suzuki, Kazuyuki Aihara
Journal of Theoretical Biology 304 (2012), 121-130.
[ doi: 10.1016/j.jtbi.2012.03.022 | PubMed: 22554949 | MathSciNet: MR2924912 ]
Characterizing global evolutions of complex systems via intermediate network representations
Koji Iwayama, Yoshito Hirata, Kohske Takahashi, Katsumi Watanabe, Kazuyuki Aihara, Hideyuki Suzuki
Scientific Reports 2 (2012), 423.
[ doi: 10.1038/srep00423 | PubMed: 22639731 ]
Nonlinear systems identification by combining regression with bootstrap resampling
Hiroaki Kuramae, Yoshito Hirata, Nicholas Bruchovsky, Kazuyuki Aihara, Hideyuki Suzuki
Chaos 21 (2011), 043121.
[ doi: 10.1063/1.3657919 | PubMed: 22225358 ]
Epidemic spread in adaptive networks with multitype agents
Bing Wang, Lang Cao, Hideyuki Suzuki, Kazuyuki Aihara
Journal of Physics A 44 (2011), 035101.
[ doi: 10.1088/1751-8113/44/3/035101 | MathSciNet: MR2749067 ]
Theory of hybrid dynamical systems and its applications to biological and medical systems
Kazuyuki Aihara, Hideyuki Suzuki
Philosophical Transactions of the Royal Society A 368 (2010), 4893-4914.
[ doi: 10.1098/rsta.2010.0237 | PubMed: 20921003 ]
Self-organization of orientation-selective and ocular-dominance maps
through spike-timing-dependent plasticity
Koji Iwayama, Kazuyuki Aihara, Hideyuki Suzuki
Artificial Life and Robotics 14 (2009), 371-374.
[ doi: 10.1007/s10015-009-0687-9 ]
Reconstruction of driving forces through recurrence plots
Masaaki Tanio, Yoshito Hirata, Hideyuki Suzuki
Physics Letters A 373 (2009), 2031-2040.
[ doi: 10.1016/j.physleta.2009.03.069 | MathSciNet: MR2522661 ]
Testing a neural coding hypothesis using surrogate data
Yoshito Hirata, Yuichi Katori, Hidetoshi Shimokawa, Hideyuki Suzuki, Timothy A. Blenkinsop, Eric J. Lang, Kazuyuki Aihara
Journal of Neuroscience Methods 172 (2008), 312-322.
[ doi: 10.1016/j.jneumeth.2008.05.004 | PubMed: 18565591 ]
Wind direction modelling using multiple observation points
Yoshito Hirata, Danilo P. Mandic, Hideyuki Suzuki, Kazuyuki Aihara
Philosophical Transactions of the Royal Society A 366 (2008), 591-607.
[ doi: 10.1098/rsta.2007.2112 ]
Testing serial dependence by random-shuffle surrogates and the Wayland method
Yoshito Hirata, Shunsuke Horai, Hideyuki Suzuki, Kazuyuki Aihara
Physics Letters A 370 (2007), 265-274.
[ doi: 10.1016/j.physleta.2007.05.061 ]
Emulation of Adobe CID resources by CJK TrueType fonts
Toshiya Suzuki, Taiji Yamada, Masatake Yamato, Hideyuki Suzuki
Document Numerique 9 (2006), 17-43.
Reconstructing state spaces from multivariate data using variable delays
Yoshito Hirata, Hideyuki Suzuki, Kazuyuki Aihara
Physical Review E 74 (2006), 026202.
[ doi: 10.1103/PhysRevE.74.026202 | MR2280421 (MathSciNet) ]
Double rotations
Hideyuki Suzuki, Shunji Ito, Kazuyuki Aihara
Discrete and Continuous Dynamical Systems 13 (2005), 515-532.
[ doi: 10.3934/dcds.2005.13.515 | Zbl 1078.37033 (ZMATH) | MR2152403 (MathSciNet) ]
Complex behaviour of a simple partial-discharge model
Hideyuki Suzuki, Kazuyuki Aihara, Tatsuki Okamoto
Europhysics Letters 66 (2004), 28-34.
[ doi: 10.1209/epl/i2003-10151-x ]
Grazing bifurcation and mode-locking in reconstructing chaotic dynamics
with a leaky integrate-and-fire model
Yasuhiro Ono, Hideyuki Suzuki, Kazuyuki Aihara
Artificial Life and Robotics 7 (2003), 55-62.
[ doi: 10.1007/BF02480886 ]
Array-enhanced coherence resonance and forced dynamics
in coupled FitzHugh-Nagumo neurons with noise
Yuji Shinohara, Takashi Kanamaru, Hideyuki Suzuki, Takehiko Horita, Kazuyuki Aihara
Physical Review E 65 (2002), 051906.
[ doi: 10.1103/PhysRevE.65.051906 ]
Analysis of neural spike trains with interspike interval reconstruction
Hideyuki Suzuki, Kazuyuki Aihara, Jun Murakami, Tateo Shimozawa
Biological Cybernetics 82 (2000), 305-311.
[ doi: 10.1007/s004220050584 | PubMed: 10804062 | Zbl 0961.92010 (ZMATH) ]
Wind modelling and its possible application to control of wind farms
Yoshito Hirata, Hideyuki Suzuki, Kazuyuki Aihara
In Signal Processing Techniques for Knowledge Extraction and Information Fusion (eds: D. Mandic, M. Golz, A. Kuh, D. Obradovic, T. Tanaka), Springer, 2008.
[ ISBN: 0387743669 (amazon) ]
Universality in mathematical modeling: a comment on “Surprising dynamics from a simple model”
Hideyuki Suzuki, Kazuyuki Aihara
Mathematics Magazine 81 (2008), 291-294.
[ magazine homepage ]
神経細胞の数理モデル
鈴木秀幸
『応用数理ハンドブック』, 朝倉書店, 2013年, pp. 104-105.
数学で脳に迫る
合原一幸, 鈴木秀幸
『数理工学 最新ツアーガイド』（第3章）, 日本評論社, 2008年.
神経細胞の発火ダイナミクス
鈴木秀幸
『理工学系からの脳科学入門』（第2章）, 東京大学出版会, 2008年.
2素子のカオスボルツマンマシン
鈴木秀幸
生産研究 Vol. 66 (2014), No. 3, 315-316.
[ doi: 10.11188/seisankenkyu.66.315 ]
再生可能エネルギーを考慮した電力市場の価格決定方式の解析
高橋優斗, 鈴木秀幸, 合原一幸
生産研究 Vol. 66 (2014), No. 3, 309-313.
[ doi: 10.11188/seisankenkyu.66.309 ]
ネットワークダイナミクスによる数理モデリングとエネルギーマネジメント
鈴木秀幸
シミュレーション, Vol. 32 (2013), No.3, 193-198.
ビリヤードスピン系のカオス的ダイナミクス
鈴木秀幸
生産研究 Vol. 65 (2013), No. 3, 309-313.
[ doi: 10.11188/seisankenkyu.65.309 ]
位相モデルを用いた東日本送電網における周波数同期の解析
永田基樹, 藤原直哉, 西川功, 田中剛平, 鈴木秀幸, 合原一幸
生産研究 Vol. 65 (2013), No. 3, 295-299.
[ doi: 10.11188/seisankenkyu.65.295 ]
部分放電現象と区分等長写像
鈴木秀幸
数理解析研究所講究録 Vol. 1742 (2011), 23-32.
東京都市圏パーソントリップ調査に基づく新型インフルエンザ感染拡大シミュレーション
江島啓介, 永吉拓也, 鈴木秀幸, 合原一幸
運輸と経済 Vol. 70 (2010), 54-62.
東京大学生産技術研究所最先端数理モデル連携研究センター
鈴木秀幸, 合原一幸
応用数理 Vol. 20 (2010), 342-344.
確率モデルを用いた神経スパイク時系列解析手法の評価
藤原寛太郎, 鈴木秀幸
生産研究 Vol. 61 (2009), 122-124.
[ doi: 10.11188/seisankenkyu.61.122 ]
ニューロン（神経細胞）の数理モデル (2)ニューロンの離散時間モデル
鈴木秀幸, 合原一幸
数学セミナー, 2007年2月号, pp. 62-67.
Takensの埋め込み定理
鈴木秀幸
日本ファジィ学会誌 Vol. 10 (1998), 662-666.
研究者総覧にも最近の活動のリストがあります。