柴田 和久(しばた かずひさ)

English/Japanese


論文抄録中の頻出単語(Wordle作成)

連絡先

shibata at lit.nagoya-u.ac.jp (Nagoya University)
kazuhisa.shibata at gmail.com (gmail)


研究トピック

  • 知覚学習
  • 潜在知覚
  • 選択的注意
  • 意思決定
  • ベイズ理論


研究業績

  • 国際学会誌
    1. The effects of feature attention on pre-stimulus cortical activity in the human visual system, Kazuhisa Shibata, Noriko Yamagishi, Naokazu Goda, Taku Yoshioka, Okito Yamashita, Masa-aki Sato, and Mitsuo Kawato, Cerebral Cortex, 2008, 18(7):1664-1675.
    2. Boosting perceptual learning by fake feedbackKazuhisa Shibata, Noriko Yamagishi, Shin Ishii, and Mitsuo Kawato, Vision Research, 2009, 49(21):2574-2585. (Evaluated by Faculty of 1000 Biology)
    3. Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentationKazuhisa Shibata, Takeo Watanabe, Yuka Sasaki, and Mitsuo Kawato, Science, 2011, 334(6061):1413-1415.
    4. Monocular deprivation boosts long-term visual plasticity, Kazuhisa Shibata, Mitsuo Kawato, Takeo Watanabe, and Yuka Sasaki, Current Biology, 2012, 22(9):R291-292.
    5. Preference suppression caused by misattribution of task-irrelevant subliminal motion, Kazuhisa Shibata and Takeo Watanabe, Proc L Soc B, 2012.
    6. Resetting capacity limitations revealed by long-lasting elimination of attentional blink through trainingHoon Choi, Li-Hung Chang, Kazuhisa Shibata, Yuka Sasaki, and Takeo Watanabe, Proc Natl Acad Sci USA, 2012.
    7. Decoding Reveals Plasticity in V3A as a Result of Motion Perceptual LearningKazuhisa Shibata, Li-Hung Chang, Dongho Kim, Jose E. Nanez Sr, Yukiyasu Kamitani, Takeo Watanabe, Yuka Sasaki, PLoS One, 2012.
    8. Two-stage model in perceptual learning: toward a unified theoryKazuhisa Shibata, Dov Sagi, and Takeo Watanabe, Ann. N.Y. Acad. Sci., 2014.
    9. Age-related declines of stability in visual perceptual learning, Li-Hung Chang, Kazuhisa Shibata, George J. Andersen, Yuka Sasaki, and Takeo Watanabe, Current Biology, 2014.
    10. A small number of abnormal brain connections predicts adult autism spectrum disorder, Noriaki Yahata, Jun Morimoto, Ryuichiro Hashimoto, Giuseppe Lisi, Kazuhisa Shibata, Yuki Kawakubo, Hitoshi Kuwabara, Miho Kuroda, Takashi Yamada, Fukuda Megumi, Hiroshi Imamizu, José E. Náñez Sr, Hidehiko Takahashi, Yasumasa Okamoto, Kiyoto Kasai, Nobumasa Kato, Yuka Sasaki, Takeo Watanabe, and Mitsuo Kawato, Nature Communications, 2016, 7:11254.
  • 国際学会
    1. Feature attention modulates activity within feature-sensitive visual areas before stimulus onset: An fMRI constrained MEG study, Kazuhisa Shibata, Noriko Yamagishi, Naokazu Goda, Taku Yoshioka, Okito Yamashita, Masa-aki Sato, and Mitsuo Kawato, Society for Neuroscience Annual Meeting, Oct. 2006, Atlanta, USA (Poster presentation).
    2. Applying a sparse classifier method to MEG data decoding of attention experiment, Okito Yamashita, Kazuhisa Shibata, Noriko Yamagishi, Masa-aki Sato, International Conference on Biomagnetism, Aug. 2006, Vancouver, Canada (Poster presentation).
    3. Boosting perceptual learning by feedback manipulation, Kazuhisa Shibata, Shin Ishii, Noriko Yamagishi, and Mitsuo Kawato, Vision Sciences Society Annual Meeting, May 2008, Florida, USA (Talk presentation).
    4. Preference bias is induced by task-irrelevant motion only if it is weak, Kazuhisa Shibata, Takeo Watanabe, Vision Sciences Society Annual Meeting, May 2010, Florida, USA (Poster presentation).
    5. Decoding reveals sensory plasticity in V3A with motion perceptual learning, Kazuhisa Shibata, Li-Hung Chang, Yuka Sasaki, Dongho Kim, Jose E. Nanez, Sr., Yukiyasu Kamitani, Takeo Watanabe, Society for Neuroscience Annual Meeting, Nov. 2010, San Diego, USA (Poster presentation).
    6. Misattribution of unconscious visuo-motor conflict to preferential decision, Kazuhisa Shibata, Takeo Watanabe, Vision Sciences Society Annual Meeting, May 2011, Florida, USA (Poster presentation).
    7. Ventral lateral prefrontal areas reflect an influence of past experiences of weak signals on perceptual decision making, Shigeaki Nishina, Dongho Kim, Kazuhisa Shibata, Ji-Won Bang, Gojko Zaric, José Náñez, Yuka Sasaki, Takeo Watanabe, Vision Sciences Society Annual Meeting, May 2011, Florida, USA (Poster presentation).
    8. Greater effect of less visible signals on implicit probability learning in perceptual decision making, Shigeaki Nishina, Dongho Kim, Kazuhisa Shibata, Yuka Sasaki, Takeo Watanabe, The 15th annual meeting of the ASSC, June 2011, Kyoto, Japan (Poster presentation).
    9. Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation, Kazuhisa Shibata, Yuka Sasaki, Mitsuo Kawato, and Takeo Watanabe, Vision Sciences Society Annual Meeting, May 2012, Florida, USA (Talk presentation).
    10. Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation, Kazuhisa Shibata, Yuka Sasaki, Mitsuo Kawato, and Takeo Watanabe, Association for Scientific Study of Consciousness, July 2012, Brighton, UK (Talk presentation).
    11. Inducing behavioral modification by decoded neurofeedbackKazuhisa ShibataAnnual meeting of the Japan Neuroscience Society, September 2012, Nagoya, Japan (Invited talk presentation).
    12. Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation, Kazuhisa Shibata, Yuka Sasaki, Mitsuo Kawato, and Takeo Watanabe, Society for Neuroscience, October 2012, New Orleans, USA (Poster presentation).
    13. Perceptual learning is associated with different types of plasticity at different stages - revealed by fMRI, Kazuhisa Shibata, Yuka Sasaki, Mitsuo Kawato, and Takeo Watanabe, Vision Sciences Society Annual Meeting, May 2013, Florida, USA (Talk presentation).
    14. Human facial preferences are changed at the mercy of online neurofeedback, Kazuhisa Shibata, Yuka Sasaki, Mitsuo Kawato, and Takeo Watanae, Society for Neuroscience, Novemeber 2013, San Diego, USA (Poster presentation).
    15. Human facial preferences are changed at the mercy of decoded fMRI neurofeedback, Kazuhisa Shibata, Yuka Sasaki, Mitsuo Kawato, and Takeo Watanabe, Vision Sciences Society Annual Meeting, May 2014, Florida, USA (Talk presentation).
  • 国内学会誌
  • 国内学会
    1. 色と動きに対する選択的注意に関する研究,柴田和久,山岸典子,郷田直一,渡邉武郎,川人光男,電子情報通信学会ニューロコンピューティング研究会,NC2003-151, 2004年3月,東京(口頭発表).
    2. Kazuhisa Shibata, Noriko Yamagishi, Naokazu Goda, Taku Yoshioka, Okito Yamashita, Masa-aki Sato, and Mitsuo Kawato, Feature attention modulates activity within feature-sensitive visual areas before stimulus onset: An fMRI constrained MEG study, 統合ワークショップ 脳と心のメカニズム,2006年8月,札幌(ポスター発表).
    3. 山下宙人,柴田和久,佐藤雅昭,山岸典子,スパース判別器を用いたニューロイメージングデータの復号化,電子情報通信学会ブレインコミュニケーション研究会,2006年10月,東京(口頭発表).
    4. 山下宙人,柴田和久,佐藤雅昭,山岸典子,電流源推定法を用いたMEGデータデコーディング−BCIへの応用に向けて−,第四十六回日本生体医工学会大会,2007年4月,仙台(口頭発表).
    5. Kazuhisa Shibata, Shin Ishii, Noriko Yamagishi, and Mitsuo Kawato, Boosting perceptual learning by manipulated feedback,第三十一回日本神経科学大会,p1-o08,2008年7月,東京(ポスター発表).
    6. Kazuhisa Shibata, Shin Ishii, Noriko Yamagishi, and Mitsuo Kawato, Boosting perceptual learning by fake feedback,統合ワークショップ 脳と心のメカニズム,2009年1月,札幌(ポスター発表).
    1. 上原記念生命科学財団,海外留学助成ポストドクタルフェローシップ
  • その他の業績(総説など)
    1. 柴田和久,強化学習と脳における報酬系の情報処理 [pdf],物性研究,2006, 87(3):467-72
    2. 柴田和久,計算論的神経科学と生物数学 [pdf],物性研究,2006, 87(3):473-77
    3. 柴田和久,神谷之康ASCONE講義−ベイズで読み解く知覚世界 [pdf],日本神経回路学会誌,2007, 14(4):313-8
    4. 柴田和久,渡邊武郎,知覚学習と意識,そして精神疾患,臨床精神医学,2011,40(4):417-24
    5. 柴田和久,渡邉武郎,佐々木由香,川人光男,機能的磁気共鳴画像法を用いたニューロフィードバック訓練により引き起こされる視覚知覚学習新着論文レビュー,2012
  • その他の学会,研究会
    1. University College London, Mar. 2008, London, UK.
    2. International Conference of Perceptual Learning, Oct. 2008, Beijin, China.
    3. 記憶認知研究会, 法政大学, 2010年4月, 東京.
    4. 関西実験心理学若手の会,2010年12月, 大阪.
    5. 生理研研究会:視知覚の理解を目指して, 2012年10月, 岡崎.
    6. International Conference of Perceptual Learning, Dec. 2012, Nara, Japan.
    7. Columbia University, Aug. 2013, New York, USA.
    8. Princeton University, Mar. 2014, Princeton, USA.
    9. International Conference of Perceptual Learning, Aug. 2014, Vevey, Switzerland.
    10. Yale University, Sep. 2014, New Haven, USA.
    11. Dartmouth College, Feb. 2015, Hanover, USA.
    12. University of Reading, Oct. 2015, Reading, UK.
    13. University of Cambridge, Oct. 2015, Cambridge, UK.
    14. University of York, Nov. 2015, York, UK.

研究技術

  • Experience on psychophysical experiments in vision, decision making, motor control
  • fMRI and MEG measurement and analysis (SPM, Freesurfer, BrainVoyager)
  • Real-time neuroimaging experiment
  • Brain decoding using various statistical methods (Support Vector Machine, Sparse Logistic Regression, etc)
  • Computational theory and simulation
  • Programing (MATLAB since 2003, C/C++ since 2000, and VB, Perl, and SQL since 2002)

共同研究者,指導者(敬称略)


経歴

ċ
DD0561017.pdf.zip
(3060k)
Kazuhisa Shibata,
2009/10/27 17:53
ą
Kazuhisa Shibata,
2009/10/27 17:53
Ċ
Kazuhisa Shibata,
2009/10/27 17:53
Ċ
Kazuhisa Shibata,
2009/10/27 17:53
Ċ
Kazuhisa Shibata,
2009/10/27 17:53