Rchr
J-GLOBAL ID:201101098719443245   Update date: Aug. 05, 2021

Shikauchi Yumi

シカウチ ユミ | Shikauchi Yumi
Affiliation and department:
Homepage URL  (2): http://rbip.brain.riken.jp/SHIKAUCHI/eng_index.htmlhttp://hawaii.sys.i.kyoto-u.ac.jp/~yumi-s/
Research field  (1): Cognitive sciences
Research keywords  (5): 意思決定 ,  認知科学 ,  包括脳ネットワーク ,  fMRI ,  計算論的認知心理学
Papers (8):
  • Yumi Shikauchi, Makoto Miyakoshi, Scott Makeig, John R Iversen. Bayesian models of human navigation behaviour in an augmented reality audiomaze. The European journal of neuroscience. 2020
  • Fuchigami Takuya, Shikauchi Yumi, Nakae Ken, Shikauchi Manabu, Ogawa Takeshi, Ishii Shin. Zero-shot fMRI decoding with three-dimensional registration based on diffusion tensor imaging. SCIENTIFIC REPORTS. 2018. 8
  • Yumi Shikauchi, Shin Ishii. Robust encoding of scene anticipation during human spatial navigation. SCIENTIFIC REPORTS. 2016. 6
  • Yumi Shikauchi, Shin Ishii. Decoding the view expectation during learned maze navigation from human fronto-parietal network. SCIENTIFIC REPORTS. 2015. 5
  • Sotetsu Koyamada, Yumi Shikauchi, Ken Nakae, Masanori Koyama, Shin Ishii. Deep learning of fMRI big data: a novel approach to subject-transfer decoding. arXiv. 2015. abs/1502.00093
more...
MISC (3):
  • Fuchigami, T, Shikauchi, Y, Nakae, K, Shikauchi, M, Ishii, S. Brain decoding can be improved by diffusion imaging based registration. Proceeding of the 4th AINI 2016 and 14th INCF Nodes Workshop. 2016. PS-19
  • AZUMA Yoshiki, SHIKAUCHI Yumi, Nakamura Yutaka, HIRAYAMA Jun-ichiro, ISHII Shin. Reconstruction of three-dimensional multi-finger movements from magnetoencephalography with a state transition model. IEICE technical report. ME and bio cybernetics. 2015. 114. 514. 199-204
  • Koyamada, S, Shikauchi, Y, Nakae, K, Ishii, S. Construction of subject-independent brain decoders for human fMRI with deep learning. Proceedings of the International Conference on Data Mining, Internet Computing, and Big Data. 2014. 60-68
Professional career (1):
  • 情報学 (京都大学)
Association Membership(s) (1):
日本神経科学学会
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