2018 or later

  • Kantaro Shimomura, Kazushi Ikeda: Learning Coefficient of Estimation of Covariance Matrices, APSIPA Transactions on Signal and Information Processing, 7, e18.
  • Stefano Zucca, Aya Zucca, Takashi Nakano, Sho Aoki, Jeff Wickens: Pauses in cholinergic interneuron firing exert an inhibitory control on striatal output in vivo, eLife, 7, e32510.
  • Ildefons Magrans de Abrila, Junichiro Yoshimoto, Kenji Doya: Connectivity Inference from Neural Recording Data: Challenges, Mathematical Bases and Research Directions, Neural Networks, in press.
  • Hiroaki Sasaki, Takafumi Kanamori, Aapo Hyvärinen, Gang Niu and Masashi Sugiyama: Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios, Journal of Machine Learning Research, in press.
  • Tatsuya Yamada, Makoto Nishiyama, Shigeyuki Oba, Henri Claver Jimbo, Kazushi Ikeda, Shin Ishii, Kyonsoo Hong, Yuichi Sakumura: Computational Methods for Estimating Molecular System from Membrane Potential Recordings in Nerve Growth Cone, Scientific Reports, 8, 4559.
  • Tomohiro Yoshizawa, Makoto Ito, Kenji Doya: Reward-Predictive Neural Activities in Striatal Striosome Compartments, eNeuro, 5, e0367-17.
  • Kazushi Ikeda, Arata Honda, Hiroaki Hanzawa, Seiji Miyoshi: Non-Monotonic Convergence of Online Learning Algorithms for Perceptrons with Noisy Teacher, Neural Networks, 102, 21-26.
  • Lei Zhu, Kazushi Ikeda, Shaoning Pang, Tao Ban, Abdolhossein Sarrahfzadeh: Merging Weighted SVMs for Parallel Incremental Learning, Neural Networks, 100, 25-38.
  • Hiroaki Sasaki, Voot Tangkaratt, Gang Niu and Masashi Sugiyama: Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities, Neural Computation, 30, 477-504.

2017

  • Jaymar Soriano, Takatomi Kubo, Takao Inoue, Hiroyuki Kida, Toshitaka Yamakawa, Michiyasu Suzuki, Kazushi Ikeda: Q10 Factor in a Neural Mass Model of Epileptic Discharges Explains Heterogeneous Response of Experimental Epilepsy to Focal Brain Cooling, PLoS Computational Biology, 13, e1005736.
  • Matthew Holland, Kazushi Ikeda: Robust Regression Using Biased Objectives, Machine Learning Journal, 106, 1643-1679.
  • Hiroaki Sasaki, Michael U. Gutmann, Hayaru Shouno and Aapo Hyvärinen: Simultaneous Estimation of Non-Gaussian Components and their Correlation Structure, Neural Computation, in press.
  • Voot Tangkaratt, Hiroaki Sasaki, and Masashi Sugiyama: Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction, Neural Computation, 29, 2076-2122.
  • Nishanth Koganti, Tomoya Tamei, Kazushi Ikeda, Tomohiro Shibata: Bayesian Nonparametric Learning of Cloth Models for Robotic Clothing Assistance, IEEE Transactions on Robotics, 33, 916-931.
  • Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda: Roles of Pre-Training in Deep Neural Networks from Information Theoretical Perspective, Neurocomputing, 248, 76-19.
  • Tomoki Tokuda, Junichiro Yoshimoto, Yu Shimizu, Go Okada, Masahiro Takamura, Yasumasa Okamoto, Shigeto Yamazaki, Kenji Doya: Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions. PLOS ONE, 12(10), e0186566.
  • Kosuke Yoshida, Yu Shimizu, Junichiro Yoshimoto, Masahiro Takamura, Go Okada, Yasumasa Okamoto, Shigeto Yamazaki, Kenji Doya: Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression. PLOS ONE, 12(7), e0179638.
  • Kosuke Yoshida, Junichiro Yoshimoto, Kenji Doya: Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data. BMC Bioinformatics, 18(1), 108.

2016

  • Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Kentarou Hitomi, Masumi Egawa: Modeling and Prediction of Driving Behaviors Using a Nonparametric Bayesian Method with AR Models, IEEE Transactions on Intelligent Vehicles, 1, 131-138.
  • Satoshi Kozawa, Takashi Akanuma, Tetsuo Sato, Yasuomi D. Sato, Kazushi Ikeda, Thomas N. Sato: Real-Time Prediction of Cell Division Timing in Developing Zebrafish Embryo, Scientific Reports, 6, 32962.
  • Alan S. R. Fermin, Takehiko Yoshida, Junichiro Yoshimoto, Makoto Ito, Saori C. Tanaka, Kenji Doya: Model-Based Action Planning Involves Cortico-Cerebellar and Basal Ganglia Networks, Scientific Reports, 6, 31378.
  • Taku Nagai, Junichiro Yoshimoto, Takayuki Kannon, Keisuke Kuroda, Kozo Kaibuchi: Phosphorylation signals in striatal medium spiny neurons. Trends in Pharmacological Sciences, 37(10), 858–871.
  • Maki Katayama, Takatomi Kubo, Kazutaka Mogi, Kazushi Ikeda, Miho Nagasawa, Takefumi Kikusui: Heart Rate Variability Predicts the Emotional State in Dogs, Behavioural Processes, 128, 108-112.
  • Ikko Yamane, Hiroaki Sasaki, Masashi Sugiyama: Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation, Neural Computation, 28/7, 1388-1410.
  • Hiroaki Sasaki, Yung-Kyun Noh, Gang Niu, Masashi Sugiyama: Direct Density Derivative Estimation, Neural Computation, 28/6, 1101-1140.
  • Matthew Holland, Kazushi Ikeda: Minimum Proper Loss Estimators for Parametric Models, IEEE Transactions on Signal Processing, 64/3, 704-713.
  • Shigeyuki Oba, Ken Nakae, Yuji Ikegaya, Shunsuke Aki, Junichiro Yoshimoto, Shin Ishii: Empirical Bayesian significance measure of neuronal spike response. BMC Neuroscience, 17(1), 27.
  • Taku Nagai, Shinichi Nakamuta, Keisuke Kuroda, Sakura Nakauchi, Tomoki Nishioka, Tetsuya Takano, Xinjian Zhang, Daisuke Tsuboi, Yasuhiro Funahashi, Takashi Nakano, Junichiro Yoshimoto, Kenta Kobayashi, Motokazu Uchigashima, Masahiko Watanabe, Masami Miura, Akinori Nishi, Kazuto Kobayashi, Kiyofumi Yamada, Mutsuki Amano and Kozo Kaibuch: Phosphoproteomics of the Dopamine Pathway Enables Discovery of Rap1 Activation as a Reward Signal In Vivo, Neuron, 89/3, 550-565.

2015

  • Tomoya Tamei, Yasuyuki Orito, Hiroyuki Funaya, Kazushi Ikeda, Yohei Okada, Tomohiro Shibata, Kinect-Based Posturography for In-Home Rehabilitation of Balance Disorder, APSIPA Transactions on Signal and Information Processing, 4, e17.
  • Takuya Konishi, Takatomi Kubo, Kazuho Watanabe, Kazushi Ikeda: Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data, IEEE Trans. Neural Networks and Learning Systems, 26/9, 2176-2181.
  • Yusuke Kubo, Kentarou Baba, Michinori Toriyama, Tadao Sugiura, Satoshi Kozawa, Kazushi Ikeda, Naoyuki Inagaki, Shooting 1-Cortactin Interaction Mediates Signal-Force Transduction for Axon Outgrowth, Journal of Cell Biology, 210/4, 663-676.
  • Hiroko Katsuno, Michinori Toriyama, Yoichiroh Hosokawa, Kensaku Mizuno, Kazushi Ikeda, Yuichi Sakumura, Naoyuki Inagaki, Actin Migration Driven by Directional Assembly and Disassembly of Membrane Anchored Actin Filaments, Cell Reports, 12/4, 648-660.
  • Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato: Variational Inference with ARD Prior for NIRS Diffuse Optical Tomography, IEEE Trans. Neural Networks and Learning Systems, 26/5, 1109-1114.
  • Satoshi Kozawa, Yuichi Sakumura, Michinori Toriyama, Naoyuki Inagaki,Kazushi Ikeda: Bayesian Cell Force Estimation Considering Force Directions, Neural Processing Letters, 41/2, 191-200.
  • Naoko Koide, Satoshi Nishida, Takatomi Kubo, Tomohiro Shibata, Kazushi Ikeda, Stimulus-Driven Factor in Abstract-Painting Viewing as an Art Speciality, PLoS ONE, 10/2, e0117696.
  • Takamitsu Araki, Kazushi Ikeda, Shotaro Akaho: An Efficient Sampling Algorithm with Adaptations for Bayesian Variable Selection, Neural Networks,61/1, 22-31.
  • Matthew Holland, Kazushi Ikeda: A Probabilistic Forecasting Approach to Wind Turbine Control SICE Journal of Control, Measurement, and System Integration, 8/1, 61-66.
  • Yuki Maruno, Kenta Cho, Kazushi Ikeda: Energy-Efficient User-State Recognition Method Using Wavelet Transform and Singular Value Decomposition, SICE Journal of Control, Measurement, and System Integration, 8/1, 86-92.

2014

  • 岡田洋平,喜多頼広,中村潤二,柴田智広,船谷浩之,折戸靖幸爲井智也池田和司,和田佳郎,形岡博史,上野聡,冷水誠,森岡周,庄本康治: 前屈姿勢と側屈姿勢を合併したパーキンソン病患者に対する直流前庭電気刺激ー電極極性が効果に与える影響の検討ー, 24/2.
  • Yohei Okada, Tomohiro Shibata, Tomoya Tamei, Yasuyuki Orito, Hiroyuki Funaya, Chihiro Obayashi, Kazushi Ikeda, Makoto Hiyamizu, Shu Morioka: In-home Posture Evaluation and Visual Feedback Training to Improve Posture with a Kinect-Based System in Parkinson’s Disease: A Case Study, Journal of Novel Physiotherapies, 4, 5, 1000232.
  • Takatomi Kubo, Masaki Yoshida, Takumu Hattori, Kazushi Ikeda: Towards Excluding Redundancy in Electrode Grid for Automatic Speech Recognition Based on Surface EMG, Neurocomputing, in press.
  • Shigeyuki Ikeda, Tomohiro Shibata, Naoki Nakano, Rieko Okada, Naohiro Tsuyuguchi, Kazushi Ikeda, Amami Kato: Neural Decoding of Vowels during Covert Articulation using Electrocorticography, Frontiers in Human Neuroscience, 8, 125.
  • Satoshi Nishida, Tomohiro Shibata, Kazushi Ikeda: Object-based Selection Modulates Top-down Attentional Shifts, Frontiers in Human Neuroscience, 8, 90.
  • Chihiro Obayashi, Tomoya Tamei, Tomohiro Shibata: Assist-as-needed Robotic Trainer Based on Reinforcement Learning and Its Application to Dart-throwing, Neural Networks, 53, 52-60.
  • Mauricio Burdelis, Kazushi Ikeda: Estimating Passive Dynamics Distributions and State Costs in Linearly Solvable Markov Decision Processes during Z Learning Execution, SICE Journal of Control, Measurement, and System Integration, 7/1, 48-54.

2013

  • T Matsuo, K Kawasaki, K Kawai, K Majima, H Masuda, H Murakami, N Kunii, Y Kamitani, S Kameyama, N Saito, I Hasegawa: Alternating Zones Selective to Faces and Written Words in the Human Ventral Occipitotemporal Cortex, Cerebral Cortex, in press.
  • Ken Kinjo, Eiichi Uchibe, Kenji Doya: Evaluation of Linearly Solvable Markov Decision Process with Dynamic Model Learning in a Mobile Robot Navigation Task, Frontiers in Neurorobotics, 7/7, 10.3389/fnbot.2013.00007.
  • Takamitsu Araki, Kazushi Ikeda: Adaptive Markov Chain Monte Carlo for Auxiliary Variable Method and Its Application to Parallel Tempering, Neural Networks, 43, 33-40.

2012

  • 池内 亮太, 池田 和司: スペクトルのシフト不変性と音響経路の周波数特性推定に基づく音楽音響信号の音高・発音時刻推定, 電子情報通信学会論文誌, J95-D/12,2124-2132.
  • 久保 孝富, 戸田 智基, 吉田 正樹, 服部 託夢, 池田 和司: Low-dimensional Feature Representation for Instrument Identification, 生体医工学, 50, 38-46.
  • Satoshi Nishida, Tomohiro Tanaka, Tomohiro Shibata, Kazushi Ikeda, Tadashi Ogawa: Discharge-Rate Persistence of Baseline Activity during Fixation Reflects Maintenance of Memory-Period Activity in the Macaque Posterior Parietal Cortex, Cerebral Cortex, bht031.
  • Mizuki Ihara, Shin-ichi Maeda, Kazushi Ikeda and Shin Ishii: Low-dimensional Feature Representation for Instrument Identification, SICE Journal of Control, Measurement, and System Integration, 5/4, 249-.
  • Makoto Fukushima, Okito Yamashita, Atsunori Kanemura, Shin Ishii, Mitsuo Kawato, Masaaki Sato: A State-Space Modeling Approach for Localization of Focal Current Sources from MEG, IEEE Trans. on Biomedical Engineering, 59/6, 1561-1571.
  • Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda: Exponential Family Tensor Factorization: An Online Extension and Applications, Knowledge and Information Systems, 33/1, 57-88.
  • Hiroyuki Funaya, Yoshihiko Nomura, Kazushi Ikeda: A support vector machine with forgetting factor and its statistical properties, Neural Networks, 24/3, 45-50.

2011

2010

2009

2008