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著者: Doya [30 articles]

Recent papers posted to CiteULike by the author Doya.
  • Metalearning and neuromodulation
    Neural Netw., Vol. 15, No. 4. (June 2002), pp. 495-506.
    by Kenji Doya
  • Nitric oxide regulates input specificity of long-term depression and context dependence of cerebellar learning.
    PLoS computational biology, Vol. 3, No. 1. (12 January 2007)
    by H Ogasawara, T Doi, K Doya, M Kawato
    posted to kinetikit genesis by mattions on 2008-06-20 04:50:21 as **
  • Reinforcement Learning State Estimator
    Neural Comp., Vol. 19, No. 3. (1 March 2007), pp. 730-756.
    by Jun Morimoto, Kenji Doya
    posted to theory machine_learning by sen_cheng on 2008-06-10 22:14:58 as ***
  • Complementary roles of basal ganglia and cerebellum in learning and motor control.
    Curr Opin Neurobiol, Vol. 10, No. 6. (December 2000), pp. 732-739.
    by K Doya
  • A unifying computational framework for motor control and social interaction.
    Philos Trans R Soc Lond B Biol Sci, Vol. 358, No. 1431. (29 March 2003), pp. 593-602.
    by DM Wolpert, K Doya, M Kawato
  • Modulators of decision making
    Nature Neuroscience, Vol. 11, No. 4. (26 March 2008), pp. 410-416.
    by Kenji Doya
    posted to serotonin dopamine decision_making computational by psique to the group psique blog references on 2008-04-28 21:46:38 as ***
  • Low-Serotonin Levels Increase Delayed Reward Discounting in Humans
    J. Neurosci., Vol. 28, No. 17. (23 April 2008), pp. 4528-4532.
    by Nicolas Schweighofer, Mathieu Bertin, Kazuhiro Shishida, Yasumasa Okamoto, Saori C Tanaka, Shigeto Yamawaki, Kenji Doya
    posted to serotonin reward human discounting by nelmor on 2008-04-28 13:34:34 as ** along with 1 person klouie
  • Combining Modalities with Different Latencies for Optimal Motor Control.
    Journal of cognitive neuroscience (16 April 2008)
    by Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, Okihide Hikosaka
    posted to visuomotor shiva sequence_learning nichola motor-control latency jessica brian by sekulerlab to the group VisionLab on 2008-04-23 16:24:09 as **
  • Serotonin and the Evaluation of Future Rewards: Theory, Experiments, and Possible Neural Mechanisms
    Annals of the New York Academy of Sciences, Vol. 1104, No. 1. (May 2007), pp. 289-300.
    by Nicolas Schweighofer, Saori C Tanaka, Kenji Doya
    posted to model reinforcement-learning serotonin by awooga on 2008-03-06 14:45:30 as read
  • The computational neurobiology of learning and reward
    Current Opinion in Neurobiology, Vol. 16, No. 2. (April 2006), pp. 199-204.
    by Nathaniel D Daw, Kenji Doya
  • What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?
    Neural Networks, Vol. 12, No. 7-8. (11 October 1999), pp. 961-974.
    by K Doya
  • Parallel neural networks for learning sequential procedures.
    Trends Neurosci, Vol. 22, No. 10. (October 1999), pp. 464-471.
    by O Hikosaka, H Nakahara, MK Rand, K Sakai, X Lu, K Nakamura, S Miyachi, K Doya
  • Reinforcement Learning State Estimator
    Neural Comput., Vol. 19, No. 3. (March 2007), pp. 730-756.
    by Jun Morimoto, Kenji Doya
    posted to learning reinforcement state_estimation by Cavadini on 2008-01-14 14:06:13 as ***
  • Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints.
    PLoS Comput Biol, Vol. 2, No. 11. (10 November 2006)
    by N Schweighofer, K Shishida, C E E Han, Y Okamoto, S C C Tanaka, S Yamawaki, K Doya
  • Understanding Neural Coding through the Model-Based Analysis of Decision Making
    J. Neurosci., Vol. 27, No. 31. (1 August 2007), pp. 8178-8180.
    by Greg Corrado, Kenji Doya
    posted to decisionmaking review reward by klouie on 2007-12-26 23:21:06 as ** along with 2 people nelmor awooga
  • Representation of action-specific reward values in the striatum.
    Science, Vol. 310, No. 5752. (25 November 2005), pp. 1337-1340.
    by K Samejima, Y Ueda, K Doya, M Kimura
  • Reinforcement Learning in Continuous Time and Space
    Neural Comput., Vol. 12, No. 1. (January 2000), pp. 219-245.
    by Kenji Doya
    posted to continuous_time learning reinforcement by Cavadini on 2007-10-03 09:14:29 as ****
  • Multiple model-based reinforcement learning.
    Neural Comput, Vol. 14, No. 6. (June 2002), pp. 1347-1369.
    posted to no-tag by todd007 on 2007-07-27 23:33:13 as **
  • Reward and Decision Making in Corticobasal Ganglia Networks (Annals of the New York Academy of Science)
    (01 June 2007)
    by Kenji Doya
    posted to no-tag by nelmor on 2007-07-23 15:24:56 as **
  • Metalearning and neuromodulation.
    Neural Netw, Vol. 15, No. 4-6. (l 2002), pp. 495-506.
    by K Doya
  • Multi-agent reinforcement learning: An approach based on the other agent's internal model
    (2000)
    by Y Nagayuki, S Ishii, K Doya
    posted to mas by damcci on 2007-04-30 19:17:25 as **
  • Anterior and superior lateral occipito-temporal cortex responsible for target motion prediction during overt and covert visual pursuit
    Neuroscience Research, Vol. 54, No. 2. (February 2006), pp. 112-123.
    by Dai Kawawaki, Tomohiro Shibata, Naokazu Goda, Kenji Doya, Mitsuo Kawato
    posted to brain prediction spems by manabu-s on 2007-04-05 19:03:49 as read
  • Reinforcement Learning in Continuous Time and Space
    Neural Computation, Vol. 12, No. 1. (2000), pp. 219-245.
    by Kenji Doya
    posted to continuous-state continuous-time reinforcement-learning by gagliol on 2007-03-02 11:16:13 as ***
  • fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences.
    Neuroimage, Vol. 32, No. 2. (15 August 2006), pp. 714-727.
    by RS Bapi, KP Miyapuram, FX Graydon, K Doya
  • Reinforcement learning in continuous time and space.
    Neural Computation, Vol. 12, No. 1. (January 2000), pp. 219-245.
    by K Doya
  • Cerebellar aminergic neuromodulation: towards a functional understanding.
    Brain Res Brain Res Rev, Vol. 44, No. 2-3. (March 2004), pp. 103-116.
    posted to abstract cerebellum model neuromodulator by awooga on 2006-10-27 17:34:11 as read
  • notes Meta-learning in Reinforcement Learning
    Neural Networks, Vol. 16, No. 1. (January 2003), pp. 5-9.
    by Nicolas Schweighofer, Kenji Doya
    posted to no-tag by kgmasaki on 2006-06-01 00:03:52 as ** along with 2 people satsumakenji Sergi
  • Parallel neural networks for learning sequential procedures
    Trends in Neurosciences, Vol. 22, No. 10. (October 1999), pp. 464-471.
    by O Hikosaka, H Nakahara, MK Rand, K Sakai, X Lu, K Nakamura, S Miyachi, K Doya
  • Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops.
    Nat Neurosci, Vol. 7, No. 8. (August 2004), pp. 887-893.
    by SC Tanaka, K Doya, G Okada, K Ueda, Y Okamoto, S Yamawaki
  • A neural correlate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task.
    J Neurosci, Vol. 24, No. 7. (18 February 2004), pp. 1660-1665.
    by M Haruno, T Kuroda, K Doya, K Toyama, M Kimura, K Samejima, H Imamizu, M Kawato
    posted to caudate forwardmodel reinforcement by memphisphil on 2005-12-19 22:36:36 as **
  • 注: このページを引用する時は次のURLでどうぞ: http://www.citeulike.org/author/Doya

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