Faculty Detail / 研究室詳細



Computational neuroscience, Decision making, Motivated/social behavior

中原  裕之



主な発表論文 全て表示する

  1. 1

    Sugiyama M, Nakahara H, and Tsuda K: "Information Decomposition on Structured Space.", IEEE International Symposium on Information Theory 2016, 575-579 (2016)

  2. 2

    Nakahara H: "Multiplexing signals in reinforcement learning with internal models and dopamine.", Curr Opin Neurobiol, 25C, 123-129 (2014)

  3. 3

    Nakahara H, and Hikosaka O: "Learning to represent reward structure: A key to adapting to complex environments.", Neurosci Res (2012)

  4. 4

    Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, and Nakahara H: "Learning to simulate others' decisions.", Neuron, 74(6), 1125-37 (2012)

  5. 5

    Nakahara H, and Kaveri S: "Internal-time temporal difference model for neural value-based decision making.", Neural Comput, 22(12), 3062-106 (2010)

  6. 6

    Bromberg-Martin ES, Matsumoto M, Nakahara H, and Hikosaka O: "Multiple timescales of memory in lateral habenula and dopamine neurons.", Neuron, 67(3), 499-510 (2010)

  7. 7

    Santos GS, Gireesh ED, Plenz D, and Nakahara H: "Hierarchical interaction structure of neural activities in cortical slice cultures.", J Neurosci, 30(26), 8720-33 (2010)

  8. 8

    Nakahara H, Amari S, and Richmond BJ: "A comparison of descriptive models of a single spike train by information-geometric measure.", Neural Comput, 18(3), 545-68 (2006)

  9. 9

    Nakahara H, Itoh H, Kawagoe R, Takikawa Y, and Hikosaka O: "Dopamine neurons can represent context-dependent prediction error.", Neuron, 41(2), 269-80 (2004)

  10. 10

    Nakahara H, and Amari S: "Information-geometric measure for neural spikes.", Neural Comput, 14(10), 2269-316 (2002)

  11. 11

    Nakahara H, Doya K, and Hikosaka O.: "Parallel cortico-basal ganglia mechanisms for acquisition and execution of visuomotor sequences - a computational approach.", J Cogn Neurosci, 13(5), 626-47 (2001)

プレスリリース 全て表示する