Laboratories
Home > Laboratories > Brain Science Institute > Mind and Intelligence Research Core > Laboratory for Integrated Theoretical Neuroscience
Laboratory for Integrated Theoretical Neuroscience
Hiroyuki NAKAHARA
Laboratory Head
Hiroyuki NAKAHARA (Ph.D.)
mail

Research Areas

We build mathematical and computational models of neural processes to understand brain functions. We are particularly interested in the neural mechanisms used for decision making and reward-related behavior, including social intelligence and motivation. In relation to this main subject, we investigate the coding capability of neural popurationsand neural circuits at the interface between systems and cellular neuroscience. We also emphasize close collaboration with experimental studies.

Research Subject

  1. Neural mechanisms and computations of decision making; motivated/social behaviors, adaptive learning
  2. Computational and mathematical foundations of neural populations and neural circuits

Related links

  1. RIKEN Brain Science Institute Website_Laboratories PageNew Window
  2. Individual Website Laboratory PageNew Window

List of Selected Publications

  1. Bromberg-Martin, E, S., Matsumoto, M., Nakahara, H., Hikosaka, O.:
    "Multiple timescales of memory in lateral habenula and dopamine neurons."
    Neuron. 67, 3, 499-510 (2010)
  2. Nakahara, H., Kaveri, S.:
    "Internal-Time Temporal Difference Model for Neural Value-based Decision Making."
    Neural Computation. 22, 12, 3062-3106 (2010)
  3. Santos, G, S., Gireesh, E, D., Plenz, D., Nakahara, H.:
    "Hierarchical interaction structre of neural activities in cortical slice cultures."
    The Journal of Neuroscience. 30, 26, 8720-8733 (2010)
  4. Hikosaka, O., Nakamura, K., Nakahara, H.:
    "Basal ganglia orient eyes to reward."
    Journal of Neurophysiology. 95, 2, 567-584 (2006)
  5. Nakahara, H., Amari, S., Richmond, B. J.:
    "A comparison of descriptive models of a single spike train by information-geometric measure."
    Neural Computation. 18, 3, 545-568 (2006)
  6. Nakahara, H., Itoh, H., Kawagoe, R., Takikawa, Y., Hikosaka, O.:
    "Dopamine neurons can represent context-dependent prediction error."
    Neuron. 41, 2, 269-280 (2004)
  7. Nakahara, H., Amari, S.:
    "Information geometric measure for neural spikes."
    Neural Computation. 14, 10, 2269-2316 (2002)
  8. Nakahara, H., Doya, K., Hikosaka, O.:
    "Parallel cortico-basal ganglia mechanisms for acquisition and execution of visuomotor sequences: A computational approach."
    Journal of Cognitive Neuroscience. 13, 5, 626-647 (2001)
  9. Hikosaka, O., Nakahara, H., Rand, M. K., Sakai, K., Lu, X., Nakamura, K., Miyachi, S., Doya, K.:
    "Parallel neural networks for learning sequential procedures."
    Trends in Neuroscience. 22, 10, 464-471 (1999)
Page Top