Masahiko Haruno

Summary

Affiliation: ATR Computational Neuroscience Laboratories
Country: Japan

Publications

  1. ncbi request reprint Different neural correlates of reward expectation and reward expectation error in the putamen and caudate nucleus during stimulus-action-reward association learning
    Masahiko Haruno
    Department of Cognitive Neuroscience Computational Neuroscience Labs, Advanced Telecommunication Research Institute, Sorakugun, Kyoto 619 0288, Japan
    J Neurophysiol 95:948-59. 2006
  2. ncbi request reprint Heterarchical reinforcement-learning model for integration of multiple cortico-striatal loops: fMRI examination in stimulus-action-reward association learning
    Masahiko Haruno
    ATR Computational Neuroscience Laboratories, Department of Computational Neurobiology, 2 2 2 Hikaridai, Soraku gun, Kyoto, Japan
    Neural Netw 19:1242-54. 2006
  3. doi request reprint Activity in the superior temporal sulcus highlights learning competence in an interaction game
    Masahiko Haruno
    ATR Computational Neuroscience Laboratories, 2 2 2 Hikaridai, Soraku gun, Kyoto, Japan
    J Neurosci 29:4542-7. 2009
  4. ncbi request reprint A neural correlate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task
    Masahiko Haruno
    Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute, Kyoto 619 0288, Japan
    J Neurosci 24:1660-5. 2004
  5. doi request reprint MOSAIC for multiple-reward environments
    Norikazu Sugimoto
    Center for Information and Neural Networks, National Institute of Information and Communications Technology, Kyoto 619 0288, Japan
    Neural Comput 24:577-606. 2012
  6. pmc Activity in the amygdala elicited by unfair divisions predicts social value orientation
    Masahiko Haruno
    Advanced Telecommunication Research Institute Computational Neuroscience Laboratories, Kyoto, Japan
    Nat Neurosci 13:160-1. 2010
  7. ncbi request reprint Optimal control of redundant muscles in step-tracking wrist movements
    Masahiko Haruno
    Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, University College London, UK
    J Neurophysiol 94:4244-55. 2005

Detail Information

Publications7

  1. ncbi request reprint Different neural correlates of reward expectation and reward expectation error in the putamen and caudate nucleus during stimulus-action-reward association learning
    Masahiko Haruno
    Department of Cognitive Neuroscience Computational Neuroscience Labs, Advanced Telecommunication Research Institute, Sorakugun, Kyoto 619 0288, Japan
    J Neurophysiol 95:948-59. 2006
    ....
  2. ncbi request reprint Heterarchical reinforcement-learning model for integration of multiple cortico-striatal loops: fMRI examination in stimulus-action-reward association learning
    Masahiko Haruno
    ATR Computational Neuroscience Laboratories, Department of Computational Neurobiology, 2 2 2 Hikaridai, Soraku gun, Kyoto, Japan
    Neural Netw 19:1242-54. 2006
    ..Our fMRI results revealed that different cortico-striatal loops are operating, as suggested by the proposed model...
  3. doi request reprint Activity in the superior temporal sulcus highlights learning competence in an interaction game
    Masahiko Haruno
    ATR Computational Neuroscience Laboratories, 2 2 2 Hikaridai, Soraku gun, Kyoto, Japan
    J Neurosci 29:4542-7. 2009
    ..These results suggest that STS provides knowledge of the other agent's strategies for association between action and reward and highlights learning competence during interactive reinforcement learning...
  4. ncbi request reprint A neural correlate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task
    Masahiko Haruno
    Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute, Kyoto 619 0288, Japan
    J Neurosci 24:1660-5. 2004
    ..These findings suggest that the caudate nucleus is one of the main loci for reward-based behavioral learning...
  5. doi request reprint MOSAIC for multiple-reward environments
    Norikazu Sugimoto
    Center for Information and Neural Networks, National Institute of Information and Communications Technology, Kyoto 619 0288, Japan
    Neural Comput 24:577-606. 2012
    ..The simulation results demonstrate that MOSAIC-MR outperforms other counterparts because of this flexible association ability among RL controllers, forward models, and reward predictors...
  6. pmc Activity in the amygdala elicited by unfair divisions predicts social value orientation
    Masahiko Haruno
    Advanced Telecommunication Research Institute Computational Neuroscience Laboratories, Kyoto, Japan
    Nat Neurosci 13:160-1. 2010
    ..This result suggests that automatic emotional processing in the amygdala lies at the core of prosocial value orientation...
  7. ncbi request reprint Optimal control of redundant muscles in step-tracking wrist movements
    Masahiko Haruno
    Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, University College London, UK
    J Neurophysiol 94:4244-55. 2005
    ..This suggests that when recruiting redundant muscles, the nervous system may optimize the motor commands across the muscles to reduce the negative effects of motor noise...