Shinsuke KOYAMA - My portal

Profile Information

Affiliation: Associate Professor, The Institute of Statistical Mathematics, Research Organization of Information and Systems

J-GLOBAL ID: 200901026819367890
researchmap Member ID: 5000057122

Research History

Kyoto University Graduate School of Science, Division of Physics and Astronomy

Papers

Hawke-tpye count time series models

Koyama, Shinsuke The, Institute of, Statistical Mathematics

Proceedings of the Institute of Statistical Mathematics, 69 165-180, Dec, 2021 Peer-reviewed
定住意向の促進に関する分析:地方移住者と地域住民を対象とした調査を中心に

朴堯星, 前田忠彦, 小山慎介, 河合恒, 東京都健康長寿医療センター研究所

計画行政, 44 78-88, Nov, 2021 Peer-reviewed
Estimating the time-varying reproduction number of COVID-19 with a state-space method

Koyama, Shinsuke The, Institute of, Statistical Mathematics, Horie, Taiki Kyoto University, Shinomoto, Shigeru Kyoto University

PLOS Computational Biology, 17 e1008679, Jan, 2021 Peer-reviewed
Statistical physics of discovering exogenous and endogenous factors in a chain of events

Koyama, Shinsuke The, Institute of, Statistical Mathematics, Shinomoto, Shigeru Kyoto University

Physical Review Research, 2 043358, Dec, 2020 Peer-reviewed
Modeling event cascades using networks of additive count sequences

Shinsuke Koyama, Yoshi Fujiwara

Journal of Statistical Mechanics, 2019(2) 023402-023402, Feb, 2019 Peer-reviewed
Identifying exogenous and endogenous activity in social media

Fujita, Kazuki Kyoto University, Medvedev, Alexey Universite de Namur, Koyama, Shinsuke The, Institute of, Statistical Mathematics, Lambiotte, Renaud, University of Oxford, Shinomoto, Shigeru Kyoto University

Physical Review E, 98 052304, Nov, 2018 Peer-reviewed
Statistical inference of the rate of RNA polymerase II elongation by total RNA sequencing

Bioinformatics, Oct, 2018 Peer-reviewed
Length of myelin internodes of individual oligodendrocytes is controlled by microenvironment influenced by normal and input-deprived axonal activities in sensory deprived mouse models

Yasuyuki Osanai, Takeshi Shimizu, Takuma Mori, Nobuhiko Hatanaka, Yoshitaka Kimori, Kenta Kobayashi, Shinsuke Koyama, Yumiko Yoshimura, Atsushi Nambu, Kazuhiro Ikenaka

Glia, 66 2514-2525, Sep, 2018 Peer-reviewed
Projection smoothing for continuous and continuous-discrete stochastic dynamic systems

Koyama, Shinsuke ISM

Signal Processing, 144 333-340, Mar, 2018 Peer-reviewed
Remote reprogramming of hepatic circadian transcriptome by breast cancer

Hiroaki Hojo, Sora Enya, Miki Arai, Yutaka Suzuki, Takashi Nojiri, Kenji Kangawa, Shinsuke Koyama, Shinpei Kawaoka

ONCOTARGET, 8(21) 34128-34140, May, 2017 Peer-reviewed
Rabies virus-mediated oligodendrocyte labeling reveals a single oligodendrocyte myelinates axons from distinct brain regions

Yasuyuki Osanai, Takeshi Shimizu, Takuma Mori, Yumiko Yoshimura, Nobuhiko Hatanaka, Atsushi Nambu, Yoshitaka Kimori, Shinsuke Koyama, Kenta Kobayashi, Kazuhiro Ikenaka

Glia, 65(1) 93-105, Oct, 2016 Peer-reviewed
FLUCTUATION SCALING IN NEURAL SPIKE TRAINS

Shinsuke Koyama, Ryota Kobayashi

MATHEMATICAL BIOSCIENCES AND ENGINEERING, 13(3) 537-550, Jun, 2016 Peer-reviewed
Macroscopic quantum information processing using spin coherent states

Tim Byrnes, Daniel Rosseau, Meghar Khosla, Alexey Pyrkov, Andreas Thomasen, Tetsuya Mukai, Shinsuke Koyama, Ahmed Abdelrahman, Ebubechukwu Ilo-Okeke

Optics Communications, 337 102-109, Aug 3, 2015 Peer-reviewed
THE EFFECT OF INTERSPIKE INTERVAL STATISTICS ON THE INFORMATION GAIN UNDER THE RATE CODING HYPOTHESIS

Shinsuke Koyama, Lubomir Kostal

MATHEMATICAL BIOSCIENCES AND ENGINEERING, 11(1) 63-80, Feb, 2014 Peer-reviewed
Neural networks using two-component Bose-Einstein condensates

Tim Byrnes, Shinsuke Koyama, Kai Yan, Yoshihisa Yamamoto

SCIENTIFIC REPORTS, 3 2531, Aug, 2013 Peer-reviewed
Information transmission using non-Poisson regular firing

Koyama, Shinsuke The, Institute of, Statistical Mathematics, Omi, Takahiro The, University of Tokyo, Kass, Robert Carnegie Mellon University, Shinomoto, Shigeru Kyoto University

Neural Computation, 25, Apr, 2013 Peer-reviewed
Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing

Koyama, Shinsuke The, Institute of, Statistical Mathematics

Advances in Neural Information Processing Systems, 25, Apr, 2013 Peer-reviewed
Estimating neural firing rates: an empirical Bayes approach

Koyama, Shinsuke The, Institute of, Statistical Mathematics

Lecture Notes in Computer Science, 7664 51-59, Sep, 2012 Peer-reviewed
On the Relation Between Encoding and Decoding of Neuronal Spikes

Shinsuke Koyama

NEURAL COMPUTATION, 24(6) 1408-1425, Jun, 2012 Peer-reviewed

Misc.

Empirical Bayes interpretations of random point events

S Koyama, S Shinomoto

JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 38(29) L531-L537, Jul, 2005
A measure of local variation of inter-spike intervals

S Shinomoto, K Miura, S Koyama

BIOSYSTEMS, 79(1-3) 67-72, Jan, 2005
Histogram bin width selection for time-dependent Poisson process

Journal of Physics A: Mathematical and General, 37, 2004
Storage capacity of two-dimensional neural networks

S Koyama

PHYSICAL REVIEW E, 65(1), Jan, 2002

Presentations

Point process analysis of social data

Jun 25, 2021
状態空間モデルを用いたCOVID-19実効再生産数の推定

小山慎介, 統計数理研究所

AIMR-IFS-ISM合同ワークショップ2021, Apr 21, 2021
状態空間法によるCOVID-19の再生産数推定

小山慎介, 統計数理研究所

第11回数理モデリング研究会, Sep 12, 2020
計数時系列モデルを用いた企業倒産データ解析

小山慎介, 統計数理研究所, 藤原義久

日本物理学会2019年秋季大会, Sep 10, 2019
Modeling event cascades using networks of additive count sequences

Aug 29, 2019
非定常Hawkes過程に対する経験ベイズ法に現れる相転移

小山慎介, 統計数理研究所

第9回数理モデリング研究会, Jul 21, 2019
自己励起型点過程に対する経験ベイズ法と経路積分解析

小山慎介, 統計数理研究所

日本物理学会第74回年次大会, Mar 16, 2019
Point-process network of firms bankruptcies

Fujiwara, Yoshi, University of, Hyogo, Koyama, Shinsuke The, Institute of, Statistical Mathematics

Complex Networks 2018, Dec 12, 2018
点過程の社会経済データ解析への応用

小山慎介, 統計数理研究所

キヤノングローバル戦略研究所（CIGS）経済・社会への分野横断的研究会, Dec 4, 2018
Modeling event cascades using networks of additive count sequences

Sep 26, 2018
Modeling event cascades using networks of additive count sequences

Koyama, Shinsuke The, Institute of, Statistical Mathematics

Neural Coding 2018, Sep 11, 2018
Modeling event cascades using networks of additive count sequences

Aug 30, 2018
加法的な計数時系列ネットワークを用いたイベント連鎖のモデリング

小山慎介, 統計数理研究所

第6回数理モデリング研究会, Jul 8, 2018
カスケードポアソン過程を用いた連鎖イベントのモデリング

小山慎介, 統計数理研究所

日本物理学会, Mar 25, 2018
Cascade Poisson Network and its Application to Bankruptcy Data Analysis

Dec 8, 2017
ベイジアンモデリング — 時系列解析を中心に —

小山慎介, 統計数理研究所

第31回関東CAE懇話会, Oct 27, 2017
Projection smoothing for stochastic dynamical systems

Sep 5, 2017
カスケードポアソン過程に基づく企業倒産データのモデリングと統計解析

小山慎介, 統計数理研究所

第4回数理モデリング研究会, Jul 9, 2017
Fluctuation scaling in point processes

Koyama, Shinsuke The, Institute of, Statistical Mathematics

ICSA 2016, Dec 19, 2016
反応ネットワークの近似推論

小山慎介, 統計数理研究所

日本物理学会２０１６年秋季大会, Sep 15, 2016

Professional Memberships

Research Projects

時系列モデリングに基づく多段型マッドパルス伝送の高速化

科研費基盤研究(C), Apr, 2017 - Mar, 2020

小山慎介
時系列モデリングに基づく多段型マッドパルス伝送の高速化

科研費基盤研究(C), Apr, 2017 - Mar, 2020

小山慎介
転写伸長過程の数理モデルとベイズ統計に基づく逆問題解法

挑戦的萌芽研究, Apr, 2015 - Mar, 2018

吉田亮, 統計数理研究所
神経スパイク時系列パターンの階層的特徴解析

科研費若手研究(B), Apr, 2012 - Mar, 2014

小山慎介
神経スパイク時系列パターンの階層的特徴解析

科研費若手研究(B), Apr, 2012 - Mar, 2014

小山慎介
神経スパイク時系列パターンの階層的特徴解析

科研費若手研究(B), Apr, 2012 - Mar, 2014

小山慎介
神経スパイク発火の揺らぎに乗る情報とその利用に向けた融合研究シーズの探索

プロジェクト研究費, Aug, 2010 - Mar, 2011

小山慎介
点過程統計解析に基づく脳地図の構築