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Center for Information and Neural Networks

Publication

Research Paper

  • Kazuma Mori, Masahiko Haruno
    Differential ability of network and natural language information on social media to predict interpersonal and mental health traits, Journal of Personality, 20 August 2020
    URL：https://onlinelibrary.wiley.com/doi/full/10.1111/jopy.12578
  • Takami K, Haruno M
    Dissociable Behavioral and Neural Correlates for Target-Changing and Conforming Behaviors in Interpersonal Aggression, eNeuro. 2020 Jun 11;7(3):ENEURO.0273-19.2020. doi:10.1523/ENEURO.0273-19.2020. Print 2020 May/Jun.
    URL：https://www.eneuro.org/content/7/3/ENEURO.0273-19.2020
  • Ganesh Gowrishanker, Takehiro Minamoto, Masahiko Haruno
    Activity in the dorsal ACC causes deterioration of sequential motor performance due to anxiety, Nature Communications, 19 September 2019
    URL：https://doi.org/10.1038/s41467-019-12205-6
  • Erdem Pulcu & Masahiko Haruno Value computations underlying human proposer behaviour in the Ultimatum Game, Journal of Experimental Psychology: General, in press
  • Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, Nakahara H Computing social value conversion in the human brain. J Neurosci. 3117-18. 2019
  • Takami K, Haruno M, Behavioral and Functional Connectivity Basis for Peer-Influenced Bystander Participation in Bullying 、Social Cognitive and Affective Neuroscience, nsy109、27 November 2018
  • Tanaka T, Nishimura F, Kakiuchi C, Kasai K, Kimura M, Haruno M. Interactive effects of OXTRand GAD1on envy-associated behaviors and neural responses PLOS ONE 14(1): e0210493.
  • 井上 紗奈・本田 秀仁・森 数馬・山本 (前田) 万里・椎名 武夫・ 曲山 幸生・永井 成美・和田 有史 科学的情報はどのように理解されるのか？―食品の機能性理解と認知特性の個人差を視点とした分析 認知科学, 25(1), 7-25., 2018
  • 岩永 誠・森 数馬 音楽と自律神経系活動の関係：音楽への反応と心臓血管系反応の測定法 音楽知覚認知研究, 23(1), 57-68, 2017
  • Mori, K., & Iwanaga, M. Two types of peak emotional responses to music: The psychophysiology of chills and tears Scientific Reports 7 : 46063 ,2017
  • Toshiko Tanaka, Takao Yamamoto, Masahiko Haruno Brain response patterns to economic inequity predict present and future epression indices Nature Human Behaviour 1, 748-756. ,2017
  • Tsuyoshi Nihonsugi, Aya Ihara, Masahiko Haruno Aelective Increase of Intention-Based Economic Decisions by Noninvasive Brain Stimulation to the Dorsolateral Prefrontal Cortex. The Journal of Neuroscience,25 February 2015, 35(8): 3412-3419
  • Noriya Watanabe, Masahiko Haruno Effects of subsonscious and conscious emotions on human cue-reward association learning. Scientific Reports(2015)
  • Haruno M, Kimura M, Frith CD. Activity in the nucleus accumbens and amygdala underlies individual differences in prosocial and individualistic economic choices. J Cogn Neurosci. 2014 26(8):1861-70.
  • Masahiko Haruno, Minoru Kimura, Christopher D. Frith Activity in the Nucleus Accumbens and Amygdala Underlies Individual Differences in Prosocial and Individualistic Economic Choices Journal of Cognitive Neuroscience 2014 (in press)
  • Watanabe N. SakagamiM. Haruno M. (2013) Reward Prediction Error Signal Enhanced by Striatum-Amygdala Interaction Explains the Acceleration of Probabilistic Reward Learning by Emotion J Neurosci. 33:4487-4493.
  • Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, Nakahara H. (2012) Learning to Simulate Others' Decisions. Neuron. 74: 1125-1137.
  • Sugimoto N, Haruno M, Doya K, Kawato M. (2012) MOSAIC for multiple reward. Neural Computation. 24 :577-606.
  • Haruno M, Ganesh G, Burdet E, Kawato M. (2012) Differential Neural Correlates of Reciprocal Activation and Co-contraction Control in Dorsal and Ventral Premotor Cortices. J Neurophysiol. 107:126-133.
  • Enomoto K, Matsumoto N, Nakai S, Satoh T, Sato TK, Ueda Y, Inokawa H, Haruno M, Kimura M. (2011) Dopamine neurons learn to encode the long-term value of multiple future rewards. Proc Natl Acad Sci U S A. 108:15462-7.
  • Aramaki Y, Haruno M, Osu R, Sadato N. (2011) Movement initiation-locked activity of the anterior putamen predicts future movement instability in periodic bimanual movement. J Neurosci. 31:9819-23.
  • Lemmin T, Ganesh G, Gassert R, Burdet E, Kawato M, Haruno M. (2010) Model-based attenuation of movement artifacts in fMRI. J Neurosci Methods. 192:58-69.
  • Ganesh G, Haruno M, Kawato M, Burdet E. (2010) Motor memory and local minimization of error and effort, not global optimization, determine motor behavior. J Neurophysiol. 104, 382-90.
  • Haruno M. & Frith C. (2010) Activity in the amygdala elicited by unfair divisions predicts social value orientation. Nat Neurosci. 13(2):160-161.
  • Haruno M. Tanaka S & Kawato M., (2009) Political and economic decision making in reward neural systems. Leviathan. 44:7-21.
  • Haruno M. & Kawato M., (2009) Activity in the Superior Temporal Sulcus Highlights Learning Competence in an Interaction Game. J Neurosci. 29(14): 4542-4547.
  • Ganesh G., Burdet E., Haruno M. & Kawato M. (2008) Sparse linear regression for reconstructing muscle activity from human cortical fMRI. Neuroimage. 42(4):1463-1472.
  • Haruno M. & Kawato M., (2006) Heterarchical reinforcement-learning model for integration of multiple cortico-striatal loops; fMRI examination in stimulus-action-reward association learning. Neural Networks. 19:1242-1254.
  • Haruno M. & Kawato M., (2006) Different neural correlates of reward expectation and reward expectation error in putamen and caudate nucleus during stimulus-action-reward association learning. J Neurophysiol. 95(2):948-959.
  • Haruno M. & Wolpert DM., (2005) Optimal control of redundant muscles in step-tracking wrist movements. J Neurophysiol. 94(6):4244-55.
  • Haruno M., Kuroda T., Doya K, Toyama K., Kimura M., Samejima K., Imamizu H., & Kawato M. (2004) A neural correlate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task. J Neurosci. 24(7):1660-5.
  • Haruno M (2001) Hierarchical motor learning based on prediction and control (in Japanese). Biomechanism. 25 (4): 172-176.
  • Haruno M., Wolpert M. & Kawato M., (2001) MOSAIC Model for Sensorimotor Learning and Control, Neural Computation, 12(10)
  • Taira H. & Haruno M.,(2000) Feature Selection in SVM Text Categorization (in Japanese), Transactions of Information Processing Society of Japan,41(4),1113-1123
  • Taira H. & Haruno M.,(1999) Feature Selection in SVM Text Categorization,In Proceedings of 17th National Conference on Artificial Intelligence (AAAI99),1113-1123
  • Haruno M., Wolpert M. & Kawato M., (1999) Multiple Paired Forward-Inverse Models for Human Motor Learning and Control, Advances in Neural Information Processing Systems.11,31-37
  • Haruno M., Shirai S., & Ooyama Y., (1999) Using Decision Trees to Construct a Practical Parser, Machine Learning, 34,131-149
  • Haruno M., Shirai S., & Ooyama Y., (1998) Using a Decision Tree to Construct a Practical Parser (in Japanese), Transactions of Information Processing Society of Japan, 39(12),3177-3186
  • Haruno M. & Ikehara S., (1998) Two-step Extraction of Bilingual Collocations by Word-Level Sorting, IEICE Transactions on Information and Systems, E81-D 10 1103-1110
  • Haruno M., Shirai S. & Ooyama Y., (1998) Using Decision Trees to Construct a Practical Parser, Proceedings of 36th Annual Meeting of the Association for Computational Linguistics (ACL97) 505-511
  • Yamazaki T. & Haruno M., (1998) BACCS: Graphical Sentence-Level Aligned Corpora Construction Environment (in Japanese), Journal of Japanese Society for Artificial Intelligence, 144-151 1998
  • Haruno M. & Yamazaki T., (1997) High-Performance bilingual text alignment using statistical and dictionary information, Journal of Natural Language Engineering,3(1),1-14
  • Haruno M. & Matsumoto Y., (1997) Mistake-Driven Mixture of Hierarchical-Tag Context Trees, In Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics (ACL97),230-237
  • Haruno M., (1997) Bilingual Text Alignment Using Statistical and Dictionary Information (in Japanese), Transactions of Information Processing Society of Japan, 38(4),719-726
  • Sasaki Y. & Haruno M., (1997), RHB+: Type-Oriented ILP System Learning from Positive Data. In Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI97) 894-899
  • Haruno M. & Yamazaki T., (1996) High-Performance Bilingual Text Alignment Using Statistical and Dictionary Information, In Proceedings of the 34th Annual Meeting of the Association for Computational Linguistics (ACL96) 131-138
  • Haruno M., Ikehara S.& Yamazaki T., (1996) Learning Bilingual Collocations by Word-level Sorting, In Proceedings of the 16th International Conference on Computational Linguistics, 525-530
  • Haruno M., Den Y., Matsumoto Y. & Nagao M., (1993) Bidirectional Chart Generation of Natural Language Texts. In Proceedings of the 11th National Conference on Artificial Intelligence (AAAI93), 350-356
  • Haruno M., Den Y. & Matsumoto Y., (1993) Bidirectional Chart Generation Algorithm. In Proceedings of the 4th European Workshop on Natural Language Generation,31-42
  • Haruno M. (2000) Modular networks and the EM algorithm (in Japanese). Encyclopedia in brain science. 841-846
  • Kawato M., Doya K., & Haruno M. (2000) Internal models in the cerebellum (in Japanese), Iwanami Kagaku 70(7), 598-606
  • Haruno M. (1999) Bilingual Text Processing (in Japanese), Journal of Information Processing Society of Japan,40(4),374-379

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