Peer-Reviewed Papers

Common words in the abstracts of our papers (created on Jul 1st, 2019 by Wordle)

  1. Spatial variability induces generalization in contextual cueing, Yoko Higuchi, Yoshiyuki Ueda, Kazuhisa Shibata, Jun Saiki, Journal of Experimental Psychology: Learning, Memory, and Cognition, In press.

  2. Neural signals in amygdala predict implicit prejudice toward an ethnic outgroup, Keise Izuma, Ryota Aoki, Kazuhisa Shibata, Kiyoshi Nakahara, NeuroImage, 2019, 189:341-352.

  3. Toward a comprehensive understanding of the neural mechanisms of decoded neurofeedback, Kazuhisa Shibata, Giuseppe Lisi, Aurelio Cortese, Takeo Watanabe, Yuka Sasaki, and Mitsuo Kawato, NeuroImage, 2019, 188:539-556.

  4. Consolidation and reconsolidation share behavioral and neurochemical mechanisms, (*co-first author) Ji Won Bang*, Kazuhisa Shibata*, Sebastian Frank*, Edward Walsh, Mark Greenlee, Takeo Watanabe, and Yuka Sasaki, Nature Human Behavior, 2018, 2:507-513.

  5. Neural activity in the reward-related brain regions predicts implicit self-esteem: A novel validity test of psychological measures using neuroimaging, Keise Izuma, Kate Kennedy, Alexander Fitzjohn, Constantine Sedikides, and Kazuhisa ShibataJournal of Personality and Social Psychology, 2018, 114(3):343-357.

  6. Advances in fMRI real-time neurofeedback, (*co-first author) Takeo Watanabe*, Yuka Sasaki*, Kazuhisa Shibata* and Mitsuo Kawato, Trends in Cognitive Sciences, 2017, 21:997-1010.

  7. Thermosensory perceptual learning is associated with structural brain changes in parietal-opercular (SII) cortex, Hiroaki Mano, Wako Yoshida, Kazuhisa Shibata, Suyi Zhang, Martin Koltzenburg, Mitsuo Kawato and Ben Seymour, Journal of Neuroscience, 2017, 37(39):9380-9388.

  8. Overlearning hyperstabilizes a skill by rapidly making neurochemical processing inhibitory-dominant, Kazuhisa Shibata, Yuka Sasaki, Ji Won Bang, Edward G. Walsh, Maro G Machizawa, Masako Tamaki, Li-Hung Chang, & Takeo Watanabe, Nature Neuroscience, 2017, 20:470-475.

  9. Fear reduction without fear through reinforcement of neural activity that bypasses conscious exposure, Ai Koizumi, Kaoru Amano, Aurelio Cortese, Kazuhisa Shibata, Wako Yoshida, Ben Seymour, Mitsuo Kawato, & Hakwan Lau, Nature Human Behavior, 2016, 1:0006.

  10. Neural predictors of evaluative attitudes towards celebrities, Keise Izuma, Kazuhisa Shibata, Kenji Matsumoto, & Ralph Adolphs, Social Cognitive and Affective Neuroscience, 2017, 12(3):382-390.

  11. Differential activation patterns in the same brain region led to opposite emotional statesKazuhisa Shibata, Takeo Watanabe, Mitsuo Kawato, & Yuka Sasaki, PLoS Biology, 2016, 14(9): e1002546.

  12. Learning to associate orientation with color in early visual areas by associative decoded fMRI neurofeedback, Kaoru Amano, Kazuhisa Shibata, Mitsuo Kawato, Yuka Sasaki, & Takeo Watanabe, Current Biology, 2016, 26(14):1861-1866.

  13. Neuroimaging evidence for 2 types of plasticity in association with visual perceptual learningKazuhisa Shibata, Yuka Sasaki, Mitsuo Kawato, & Takeo Watanabe, Cerebral Cortex, 2016, 26(9):3681-3689.

  14. 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, & Mitsuo Kawato, Nature Communications, 2016, 7:11254.

  15. Age-related declines of stability in visual perceptual learningLi-Hung ChangKazuhisa Shibata, George J. Andersen, Yuka Sasaki, & Takeo Watanabe, Current Biology, 2014, 24(24):2926-2929.

  16. Two-stage model in perceptual learning: toward a unified theoryKazuhisa Shibata, Dov Sagi, & Takeo Watanabe, Annals of the NY Academy of Sciences, 2014, 1316:18-28.

  17. Decoding reveals plasticity in V3A as a result of motion perceptual learningKazuhisa ShibataLi-Hung Chang, Dongho Kim, Jose E. Nanez Sr, Yukiyasu Kamitani, Takeo Watanabe, & Yuka Sasaki, PLoS One, 2012, 7(8): e44003.

  18. Resetting capacity limitations revealed by long-lasting elimination of attentional blink through training, Hoon Choi, Li-Hung ChangKazuhisa Shibata, Yuka Sasaki, & Takeo Watanabe, Proceedings of the National Academy of Sciences of USA, 2012, 109(30):12242-12247.

  19. Preference suppression caused by misattribution of task-irrelevant subliminal motionKazuhisa Shibata & Takeo Watanabe, Proceedings of the Royal Society B, 2012, 279(1742):3443-8.

  20. Monocular deprivation boosts long-term visual plasticityKazuhisa Shibata, Mitsuo Kawato, Takeo Watanabe, & Yuka Sasaki, Current Biology, 2012, 22(9):R291-292.

  21. Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentationKazuhisa Shibata, Takeo Watanabe, Yuka Sasaki, & Mitsuo Kawato, Science, 2011, 334(6061):1413-1415.

  22. Boosting perceptual learning by fake feedbackKazuhisa Shibata, Noriko Yamagishi, Shin Ishii, & Mitsuo Kawato, Vision Research, 2009, 49(21):2574-2585.

  23. The effects of feature attention on pre-stimulus cortical activity in the human visual systemKazuhisa Shibata, Noriko Yamagishi, Naokazu Goda, Taku Yoshioka, Okito Yamashita, Masa-aki Sato, & Mitsuo Kawato, Cerebral Cortex, 2008, 18(7):1664-1675.

 

 

Conference Presentations (selected)

  1. Reduction in adaptation is necessary for perceptual learning to occur, Kazuhisa Shibata, Ariel Choi, Yuka Sasaki and Watanabe, Vision Sciences Society Annual Meeting, May 2017, Florida, USA (Poster presentation).

  2. The neural mechanism of stabilization of perceptual learning revealed by the concentration of excitatory and inhibitory neurotransmitter, Kazuhisa Shibata, Maro Machizawa, Edward Walsh, Ji Won Bang, Li-Hung Chang, Aaron Berard, Qingleng Tan, Yuka Sasaki, and Takeo Watanabe, Vision Sciences Society Annual Meeting, May 2015, Florida, USA (Poster presentation).

  3. 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).

  4. Human facial preferences are changed at the mercy of online neurofeedback, Kazuhisa Shibata, Yuka Sasaki, Mitsuo Kawato, and Takeo Watanabe, Society for Neuroscience, Nov. 2013, San Diego, USA (Poster presentation).

  5. 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).

  6. 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).

  7. Inducing behavioral modification by decoded neurofeedback, Kazuhisa Shibata, Annual meeting of the Japan Neuroscience Society, September 2012, Nagoya, Japan (Invited talk presentation).

  8. 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).

  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. 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).

  11. 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).

  12. Misattribution of unconscious visuo-motor conflict to preferential decision, Kazuhisa Shibata, Takeo Watanabe, Vision Sciences Society Annual Meeting, May 2011, Florida, USA (Poster presentation).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).

  13. 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).

  14. 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).

  15. 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).

  16. 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).

 

 

Invited Talks (selected)

  1. Kazuhisa Shibata, Peking University, Dec. 2017, Beijing, China.

  2. Kazuhisa Shibata, Real-time Functional Imaging and Neurofeedback Conference (keynote), Nov. 2017, Nara, Japan.

  3. Kazuhisa Shibata, SONY Computer Science Laboratories, Jun. 2017, Tokyo, Japan.

  4. Kazuhisa ShibataSymposium in National Institute of Physiological Sciences: Toward Understanding Visual Perception, Jun. 2012, Okazaki, Japan.

  5. Kazuhisa Shibata, Kyoto University, Nov. 2016, Kyoto, Japan.

  6. Kazuhisa Shibata, RIKEN Brain Science Institutes, Oct. 2016, Saitama, Japan.

  7. Kazuhisa Shibata, Kochi University of Technology, Sep. 2016, Kochi, Japan.

  8. Kazuhisa Shibata, Korea Advanced Institute of Science and Technology, Sep. 2016, Daejeon, Korea.

  9. Kazuhisa Shibata, University of York, Nov. 2015, York, UK.

  10. Kazuhisa Shibata, University of Cambridge, Oct. 2015, Cambridge, UK.

  11. Kazuhisa Shibata, University of Reading, Oct. 2015, Reading, UK.

  12. Kazuhisa Shibata, Dartmouth College, Feb. 2015, Hanover, USA.

  13. Kazuhisa Shibata, Yale University, Sep. 2014, New Haven, USA.

  14. Kazuhisa Shibata, Yuka Sasaki, & Takeo Watanabe, International Conference of Perceptual Learning, Aug. 2014, Vevey, Switzerland.

  15. Kazuhisa Shibata, Princeton University, Mar. 2014, Princeton, USA.

  16. Kazuhisa Shibata, Columbia University, Aug. 2013, New York, USA.

  17. Kazuhisa Shibata, Takeo Watanabe, Yuka Sasaki, & Mitsuo Kawato, International Conference of Perceptual Learning, Dec. 2012, Nara, Japan.

  18. Kazuhisa Shibata, Symposium in National Institute of Physiological Sciences: Toward Understanding Visual Perception, October 2012, Okazaki, Japan.

  19. Kazuhisa Shibata, Noriko Yamagishi, Shin Ishii, & Mitsuo Kawato, International Conference of Perceptual Learning, Oct. 2008, Beijing, China.

  20. Kazuhisa Shibata, University College London, Mar. 2008, London, UK.

 

 

Others (Reviews in Japanese)

  1. Kazuhisa Shibata, Reinforcement learning and reward system in the brain, Bussei Kenkyu, 2006, 87(3):467-72.

  2. Kazuhisa Shibata, Computational neuroscience and computational biology, Bussei Kenkyu, 2006, 87(3):473-77.

  3. Kazuhisa Shibata, Lecture by Yukiyasu Kamitani in ASCONE - The Bayesian perception, Japanese Neural networks, 2007, 14(4):313-8.

  4. Kazuhisa Shibata & Takeo Watanabe, Takeo Watanabe, Perceptual learning, consciousness, and psychiatry, Japanese Journal of Clinical Psychiatry, 2011, 40(4).

  5. Kazuhisa Shibata, Decoded neurofeedback method (DecNef), Clinical Neuroscience, 2012, 30(9):1070-1.

  6. Kazuhisa Shibata, A new neuroscientific approach using decoded neurofeedback (DecNef), Clinical Neurology, 2012, 52:1185-7.

© 2019 Kazuhisa Shibata