Publications

Publications

1. Katagiri R, Yamada Y, Shinkawa K, Kobayashi M, Nemoto M, Ota M, Nemoto K, Arai T, Takiyama K (2025), Dual-Task Walking for Early Detection of Alzheimer's Disease: Comparative Analysis of Tasks Using Whole-Body Gait Variables, BMC Geriatrics, in press

2. Saito H, Kusafuka A, Okegawa T, Takao S, Kaneko N, Yokoyama H, Takiyama K, Takaki K, Nakazawa K (2025), Developmental Changes in Upper Limb Muscle Synergies during Throwing: A Comparison between Preschoolers and Schoolers, iScience, in press

3. Ishida Y, Yokoyama H, Kaneko N, Kato T, Ishikawa K, Nakazawa K, Takiyama K (2025), Step velocity asymmetry rather than step length asymmetry is updated in split-belt treadmill adaptation, J Biomech. in press

4. Takiyama K*, Kubota K, Yokoyama H, and Kanemura N. (2024) Speed-dependent modulations of muscle modules in the gait of people with radiographical and asymptomatic knee osteoarthritis and elderly controls: case-control pilot study. J Biomech. 171, 112194 

5. Shinya M* and Takiyama K (2024) Guidelines for balancing the number of trials and the number of subjects to ensure the statistical power to detect variability - implication for gait studies. J Biomech. 165, 111995 

6. Takiyama K* and Yokoyama H (2024) Speed-dependent modulations of asymmetric center of body mass trajectory in the gait of above-knee amputee subjects. Front. Sports Act. Living 5:1304141. doi: 10.3389/fspor.2023.1304141 [LINK]

7. Inoue M, Furuki D, Takiyama K* (2022)  Detecting task-relevant spatiotemporal modules and their relation to motor adaptation. PLoS One. https://doi.org/10.1371/journal.pone.0275820 [LINK]

8. Takiyama K* Mugikura S and Shinichi F (2022) Impaired feedforward control of movements in pianists with focal dystonia. Front. Neurol. doi: 10.3389/fneur.2022.983448 [LINK]

9. Takiyama K* Hirashima M and Fujii S (2022) Transition between individually different and common features in skilled drumming movements. Front. Sports Act. Living 4:923180. doi: 10.3389/fspor.2022.923180 [LINK]

10. Tsubasa Hashimoto, Ken Takiyama*, Takeshi Miki, Hirofumi Kobayashi, Daiki Nasu, Tetsuya Ijiri, Masumi Kuwata, Makio Kashino, Kimitaka Nakazawa, Effort-dependent effects on uniform and diverse muscle activity features in skilled pitching, Scientific Reports, 2021, 11, 8211, [LINK]

11. Mamoru Tanae†, Keiji Ota†*, Ken Takiyama* († ... equally contributed, * ... correspondence), Competition Rather Than Observation and Cooperation Facilitates Optimal Motor Planning, Frontiers in Sports and Active Living, 2021, 3, 637225 [LINK]

12. Ken Takiyama*, Hikaru Yokoyama*, Naotsugu Kaneko, Kimitaka Nakazawa (* ... equally contributed), Speed- and mode-dependent modulation of the center of mass trajectory in human gaits as revealed by Lissajous curves, Journal of Biomechanics, 2020, 110(18), 109947 [ Link ]

13. Daisuke Furuki, Ken Takiyama, A data-driven approach to decompose motion data into task-relevant and task-irrelevant components in categorical outcome, Scientific Reports, 2020, [ Link ]

14. Ken Takiyama, Takeshi Sakurada, Masahiro Shinya, Takaaki Sato, Hirofumi Ogihara, Taiki Komatsu, Larger, but not better, implicit motor adaptation ability inherent in medicated Parkinson's disease patients: a smart-device-based study, Scientific Reports, 2020, [ Link ], bioRxiv, 2019, [ Link ]

15. Ken Takiyama*, Hikaru Yokoyama*, Naotsugu Kaneko, Kimitaka Nakazawa (* ... equally contributed), Speed-dependent and mode-dependent modulations of spatiotemporal modules in human locomotion extracted via tensor decomposition, Scientific Reports, 2020, [ Link ], bioRxiv, 2019, [ Link ]

16. Keiji Ota, Mamoru Tanae, Kotaro Ishii, Ken Takiyama, Optimal motor decision-making through competition with opponents, Scientific Reports, 2020 [ Link ], bioRxiv, 2018, [ Link ]

17. Daisuke Furuki, Ken Takiyama, Decomposing motion that changes over time into task-relevant and task-irrelevant components in a data-driven manner: application to motor adaptation in whole-body movements Scientific Reports, 2019, [ Link ] [Program code], プレスリリースは[ こちら ] (日本語), bioRxiv, 2018, [ Link ]

18. Koutaro Ishii, Takuji Hayashi, Ken Takiyama, Influence of switching rule on motor learning, Scientific Reports, 8, 2018, 13559 1-15, [ Link ], bioRxiv, 2018, [ Link ] [Program code]

19. Daisuke Furuki, Ken Takiyama, Detecting the relevance to performance of whole-body movements, Scientific Reports, 7(1), 2017, 15659 1-14 [ Link ]

20. Ken Takiyama, Influence of neural adaptation on dynamics and equilibrium state of neural activities in a ring neural network, Journal of Physics A: Mathematical and Theoretical, 50(49), 2017, 495601 1-13

21. Ken Takiyama, Bayesian geodesic path for human motor control, Neural networks, 93, 2017, 137-142

22. 瀧山 健、古木 大祐, 全身運動におけるパフォーマンスに関連した運動要素の同定 [解説論文], 日本神経回路学会誌, 24(3), 2017 [企画担当]

23. Ken Takiyama, Optimal multiple-information integration inherent in a ring neural network, Journal of Physics A: Mathematical and Theoretical, 50(8), 2017, 085601 1-12

24. Ken Takiyama, Yutaka Sakai, A balanced motor primitive framework can simultaneously explain motor learning in unimanual and bimanual movements, Neural networks, 86, 2017, 80-89

25. 瀧山 健、進矢 正宏, いつでもどこでも運動学習能力を計測できるアプリ PoMLab の開発 [解説論文], 日本神経回路学会誌, 23(3), 2016 [企画担当]

26. Ken Takiyama, Maximization of learning speed due to neuronal redundancy in reinforcement learning, Journal of Physical Society of Japan, 85, 2016, 114801

27. Ken Takiyama, Masahiro Shinya, Development of Portable Motor Learning Laboratory (PoMLab), PLOS ONE, 11(6), 2016, e0157588 [ Link ], プレスリリースは [ こちら ] (日本語)

28. Ken Takiyama, Bayesian estimation inherent in a Mexican-hat type neural network, Physical Review E, 93(5), 2016, 052303 1-5 [ Link ]

29. Ken Takiyama, Yutaka Sakai, Balanced motor primitive can explain generalization of motor learning effects between unimanual and bimanual movements, Scientific Reports, 6, 2016, 23331 1-10 [ Link ]

30. 瀧山 健, 運動学習の統一理論モデル -誤差の予測の重要性- [解説論文], 日本神経回路学会誌, 23(1), 2016, 14-34

31. Hiroshi Saito, Ken Takiyama, Masato Okada, Estimation of state transition probabilities: a neural network model, Journal of Physical Society of Japan, 84, 2015, 124801-1 - 124801-5

32. Ken Takiyama, Masaya Hirashima, Daichi Nozaki, Prospective errors determine motor learning, Nature Communications, 2015, 6, 5925 1-12 [ Link ], プレスリリースは [ こちら ] (日本語)

33. Ken Takiyama, Sensorimotor transformation via sparse coding, Scientific Reports, 2015, 5, 9648 1-7 [ Link ]

34. Ken Takiyama, Context-dependent memory decay is evidence of effort minimization in motor learning: A computational study, Frontiers in Computational Neuroscience, 2015, 9(4), 1-10 [ Link ]

35. Yasushi Naruse, Ken Takiyama, Masato Okada, Hiroaki Umehara, Yutaka Sakaguchi, Phase shifts in alpha-frequency rhythm detected in electroencephalograms influence reaction time, Neural Networks, 62, 2015, 47-51

36. 瀧山 健, 計算的神経科学から眺めたリハビリテーション -現状と展望- [解説論文], 日本神経回路学会誌, 20(3), 2013, 108-122

37. Yasushi Naruse, Ken Takiyama, Masato Okada, Hiroaki Umehara, Statistical method for detecting phase shifts in alpha rhythm from human electroencephalogram data, Physical Review E, 87(4), 2013, 042708-1 - 042708-7

38. Ryota Hasegawa, Ken Takiyama, Masato Okada, Seiji Miyoshi, Image Segmentation and Restoration Using Switching State-Space Model and Variational Bayesian Method, Journal of Physical Society of Japan, 81, 2012, 094802-1 - 094802-7

39. Ken Takiyama, Masato Okada, Recovery in Stroke Rehabilitation through the Rotation of Preferred Directions Induced by Bimanual Movements: A Computational Study, PLoS One, 7(5), 2012, e37594 1-10 [ Link ]

40. Ken Takiyama, Masato Okada, Maximization of learning speed in the motor cortex due to neuronal redundancy, PLoS Computational Biology, 8(1), 2012, e1002348 1-12 [ Link ]

41. Ken Takiyama, Masato Okada, Detection of hidden structures from nonstationary spike trains, Neural Computation, 23, 2011, 1205–1233

42. Ken Takiyama, Masato Okada, Switching state space model for simultaneously estimating state transitions and nonstationary firing, Advances in Neural Information Processing Systems, 23, 2011, 2271-2279

43. Yasushi Naruse, Ken Takiyama, Masato Okada, Tsutomu Murata, Inference in alpha rhythm phase and amplitude modeled on Markov random field using belief propagation from electroencephalograms, Physical Review E, 82(1), 2010, 011912-1 - 011912-11

44. Ken Takiyama, Kentaro Katahira, Masato Okada, Exact inference in discontinuous firing rates using belief propagation, Journal of Physical Society of Japan, 78, 2009, 064003-1 - 064003-5

45. Ken Takiyama, Yasushi Naruse, Masato Okada, Statistical mechanics of mexican-hat-type horizontal connection, Journal of Physical Society of Japan, 78, 2009, 064002-1 - 064002-6