Hiroyuki Nakahara

Summary

Affiliation: RIKEN Brain Science Institute
Country: Japan

Publications

  1. doi request reprint Multiplexing signals in reinforcement learning with internal models and dopamine
    Hiroyuki Nakahara
    Laboratory for Integrated Theoretical Neuroscience, RIKEN Brain Science Institute, 2 1 Hirosawa, Wako, Saitama 351 0198, Japan Electronic address
    Curr Opin Neurobiol 25:123-9. 2014
  2. ncbi request reprint Extended LATER model can account for trial-by-trial variability of both pre- and post-processes
    Hiroyuki Nakahara
    Laboratory for Integrated Theoretical Neuroscience, RIKEN Brain Science Institute, 2 1 Hirosawa, Wako, Saitama, Japan
    Neural Netw 19:1027-46. 2006
  3. ncbi request reprint Saccade-related spread of activity across superior colliculus may arise from asymmetry of internal connections
    Hiroyuki Nakahara
    Laboratory for Mathematical Neuroscience and for Integrated Theoretical Neuroscience, RIKEN Brain Science Institute, Saitama, Japan
    J Neurophysiol 96:765-74. 2006
  4. ncbi request reprint Improved parameter estimation for variance-stabilizing transformation of gene-expression microarray data
    Masato Inoue
    Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Saitama 351 0198, Japan
    J Bioinform Comput Biol 2:669-79. 2004
  5. ncbi request reprint A comparison of descriptive models of a single spike train by information-geometric measure
    Hiroyuki Nakahara
    Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Wako, Saitama, 351 0198 Japan
    Neural Comput 18:545-68. 2006
  6. ncbi request reprint Dopamine neurons can represent context-dependent prediction error
    Hiroyuki Nakahara
    Lab for Mathematical Neuroscience, RIKEN Brain Science Institute, Wako, Saitama, Japan
    Neuron 41:269-80. 2004
  7. ncbi request reprint Difficulty of singularity in population coding
    Shun Ichi Amari
    Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Wako, Saitama, 351 0198 Japan
    Neural Comput 17:839-58. 2005
  8. doi request reprint Encoding of social state information by neuronal activities in the macaque caudate nucleus
    Gustavo S Santos
    Laboratory for Integrated Theoretical Neuroscience, RIKEN BSI, Wako, Japan
    Soc Neurosci 7:42-58. 2012
  9. pmc Hierarchical interaction structure of neural activities in cortical slice cultures
    Gustavo S Santos
    Laboratory for Integrated Theoretical Neuroscience, RIKEN Brain Science Institute, Wako, Saitama 351 0198, Japan
    J Neurosci 30:8720-33. 2010
  10. pmc Learning to represent reward structure: a key to adapting to complex environments
    Hiroyuki Nakahara
    Laboratory for Integrated Theoretical Neuroscience, RIKEN Brain Science Institute, Wako, Saitama 351 0198, Japan
    Neurosci Res 74:177-83. 2012

Detail Information

Publications25

  1. doi request reprint Multiplexing signals in reinforcement learning with internal models and dopamine
    Hiroyuki Nakahara
    Laboratory for Integrated Theoretical Neuroscience, RIKEN Brain Science Institute, 2 1 Hirosawa, Wako, Saitama 351 0198, Japan Electronic address
    Curr Opin Neurobiol 25:123-9. 2014
    ..Even dopamine, a classic model-free signal, may work as multiplexed signals using model-based information and contribute to representational learning of reward structure...
  2. ncbi request reprint Extended LATER model can account for trial-by-trial variability of both pre- and post-processes
    Hiroyuki Nakahara
    Laboratory for Integrated Theoretical Neuroscience, RIKEN Brain Science Institute, 2 1 Hirosawa, Wako, Saitama, Japan
    Neural Netw 19:1027-46. 2006
    ..The ELATER model is useful for investigating decision making by taking account of trial-by-trial variability of both pre- and post-processes...
  3. ncbi request reprint Saccade-related spread of activity across superior colliculus may arise from asymmetry of internal connections
    Hiroyuki Nakahara
    Laboratory for Mathematical Neuroscience and for Integrated Theoretical Neuroscience, RIKEN Brain Science Institute, Saitama, Japan
    J Neurophysiol 96:765-74. 2006
    ..Other sensory maps in the brain (e.g., visual cortex) are also nonlinear and our analysis suggests that the consequences of asymmetric connections in those areas should be considered...
  4. ncbi request reprint Improved parameter estimation for variance-stabilizing transformation of gene-expression microarray data
    Masato Inoue
    Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Saitama 351 0198, Japan
    J Bioinform Comput Biol 2:669-79. 2004
    ..Validation of this method with experimental data has suggested that it is superior to the conventional method...
  5. ncbi request reprint A comparison of descriptive models of a single spike train by information-geometric measure
    Hiroyuki Nakahara
    Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Wako, Saitama, 351 0198 Japan
    Neural Comput 18:545-68. 2006
    ..This provides guidance about what measurements would effectively separate the two models. As newer models are proposed, they also can be compared to these models using information geometry...
  6. ncbi request reprint Dopamine neurons can represent context-dependent prediction error
    Hiroyuki Nakahara
    Lab for Mathematical Neuroscience, RIKEN Brain Science Institute, Wako, Saitama, Japan
    Neuron 41:269-80. 2004
    ..This history effect corresponded to the prediction error based on the conditional probability of reward and could be simulated only by implementing the relevant context into the TD model...
  7. ncbi request reprint Difficulty of singularity in population coding
    Shun Ichi Amari
    Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Wako, Saitama, 351 0198 Japan
    Neural Comput 17:839-58. 2005
    ..Our method integrates a variety of disciplines in population coding, such as nonregular statistics, Bayesian statistics, singularity in algebraic geometry, and synchronous firing, under the theme of Fisher information...
  8. doi request reprint Encoding of social state information by neuronal activities in the macaque caudate nucleus
    Gustavo S Santos
    Laboratory for Integrated Theoretical Neuroscience, RIKEN BSI, Wako, Japan
    Soc Neurosci 7:42-58. 2012
    ..These results indicate that different neuronal activities in the CN encode social state information and reward-related information, which may contribute to adjusting competitive behavior in dynamic social contexts...
  9. pmc Hierarchical interaction structure of neural activities in cortical slice cultures
    Gustavo S Santos
    Laboratory for Integrated Theoretical Neuroscience, RIKEN Brain Science Institute, Wako, Saitama 351 0198, Japan
    J Neurosci 30:8720-33. 2010
    ..Thus, the identification of appropriate units of interaction may allow for the successful characterization of neuronal activities in large-scale networks...
  10. pmc Learning to represent reward structure: a key to adapting to complex environments
    Hiroyuki Nakahara
    Laboratory for Integrated Theoretical Neuroscience, RIKEN Brain Science Institute, Wako, Saitama 351 0198, Japan
    Neurosci Res 74:177-83. 2012
    ....
  11. ncbi request reprint Correlation and independence in the neural code
    Shun Ichi Amari
    Neural Comput 18:1259-67. 2006
    ..We elucidate the Nirenberg-Latham loss from the point of view of information geometry...
  12. ncbi request reprint Information-geometric measure for neural spikes
    Hiroyuki Nakahara
    Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Wako, Saitama, 351 0198, Japan
    Neural Comput 14:2269-316. 2002
    ..As a result, purely pairwise, triple-wise, and higher-order interactions are singled out. We also demonstrate the benefits of our proposal by using several examples...
  13. ncbi request reprint Synchronous firing and higher-order interactions in neuron pool
    Shun Ichi Amari
    Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Wako Shi, Saitama, Japan
    Neural Comput 15:127-42. 2003
    ..We analyze a simple model in which neurons receive common overlapping inputs and prove that such a model can have a widespread distribution of activity, generating higher-order stochastic interactions...
  14. doi request reprint Learning to simulate others' decisions
    Shinsuke Suzuki
    Laboratory for Integrated Theoretical Neuroscience, RIKEN Brain Science Institute, Wako, Saitama 351 0198, Japan
    Neuron 74:1125-37. 2012
    ..These findings show that simulation uses a core prefrontal circuit for modeling the other's valuation to generate prediction and an adjunct circuit for tracking behavioral variation to refine prediction...
  15. ncbi request reprint Self-organization in the basal ganglia with modulation of reinforcement signals
    Hiroyuki Nakahara
    Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute 2 1 Hirosawa, Wako, Saitama, 351 0198, Japan
    Neural Comput 14:819-44. 2002
    ..Simulations based on the model are shown to produce various types of neural activity similar to those found in experiments...
  16. ncbi request reprint Gene interaction in DNA microarray data is decomposed by information geometric measure
    Hiroyuki Nakahara
    Lab for Mathematical Neuroscience, RIKEN Brain Science Institute, Saitama 351 0198, Japan
    Bioinformatics 19:1124-31. 2003
    ..Given the vast amount of gene expression data, it is essential to develop a simple and reliable method of investigating the fine structure of gene interaction. We show how an information geometric measure achieves this...
  17. doi request reprint Differential reward coding in the subdivisions of the primate caudate during an oculomotor task
    Kae Nakamura
    Department of Physiology, Kansai Medical University, Fumizono cho, Moriguch City, Osaka 570 8506, Japan
    J Neurosci 32:15963-82. 2012
    ..g., baseline firing and spike width. These results suggest parallel processing of different reward information by the basal ganglia subdivisions defined by extrinsic connections and intrinsic properties...
  18. pmc Dual reward prediction components yield Pavlovian sign- and goal-tracking
    Sivaramakrishnan Kaveri
    Lab for Integrated Theoretical Neuroscience, RIKEN BSI, Wako, Japan Dept of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan
    PLoS ONE 9:e108142. 2014
    ..These results suggest two complementary neural correlates, corresponding to the cue and its evoked reward, form the basis for learning reward predictions in the sign- and goal-tracking rats. ..
  19. doi request reprint Internal-time temporal difference model for neural value-based decision making
    Hiroyuki Nakahara
    Laboratory for Integrated Theoretical Neuroscience, RIKEN Brain Science Institute, Wako, Saitama, 351 0198 Japan
    Neural Comput 22:3062-106. 2010
    ..We also relate the internal TD formulation to research on interval timing and subjective time...
  20. ncbi request reprint Population coding and decoding in a neural field: a computational study
    Si Wu
    RIKEN Brain Science Institute, Wako Shi, Saitama, Japan
    Neural Comput 14:999-1026. 2002
    ..This implies that the variance is no longer adequate to measure decoding accuracy...
  21. ncbi request reprint Basal ganglia orient eyes to reward
    Okihide Hikosaka
    Laboratory of Sensorimotor Research, National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA
    J Neurophysiol 95:567-84. 2006
    ..These data support a specific form of reinforcement learning theories, but also suggest further refinement of the theory...
  22. ncbi request reprint Correlation of primate caudate neural activity and saccade parameters in reward-oriented behavior
    Hideaki Itoh
    Department of Mathematical Engineering and Information Physics, The University of Tokyo, Tokyo 113 8656, Japan
    J Neurophysiol 89:1774-83. 2003
    ..These results suggest that, while a majority of CD neurons receive reward-related signals, only some of them can make a significant contribution to change saccadic outputs based on expected reward...
  23. ncbi request reprint Modulation of saccadic eye movements by predicted reward outcome
    Yoriko Takikawa
    Department of Physiology, Juntendo University, School of Medicine, 2 1 1 Hongo, Bunkyo ku, Tokyo 113 8421, Japan
    Exp Brain Res 142:284-91. 2002
    ..These results provide important constraints to the neuronal mechanism underlying reward-oriented behavior because it must satisfy these rules...
  24. ncbi request reprint Information processing in a neuron ensemble with the multiplicative correlation structure
    Si Wu
    Department of Informatics, Sussex University, Brighton, BN1 9QH UK
    Neural Netw 17:205-14. 2004
    ....
  25. ncbi request reprint Structure-stability-function relationships of dendritic spines
    Haruo Kasai
    Department of Cell Physiology, National Institute for Physiological Sciences and The Graduate University for Advanced Studies SOKENDAI, Okazaki 444 8585, Japan
    Trends Neurosci 26:360-8. 2003
    ..Characterization of supramolecular complexes responsible for synaptic memory and learning is key to the understanding of brain function and disease...