METALEARNING, NEUROMODULATION AND EMOTIONPapers and Presentations【Basic Concepts】
Doya, K. (2002). Metalearning and Neuromodulation. Neural Networks, 15(4).
Doya, K. (2000). Metalearning, neuromodulation, and emotion. In G. Hatano, N. Okada
and H. Tanabe (Eds.), Affective Minds, pp. 101-104. Elsevier Science B. V.
Doya, K. (2000). Possible roles of neuromodulators in the regulation of learning processes.
30th Annual Meeting, Society for Neuroscience.
【System Integration Group】
1999
Doya, K. (1999). Metalearning, neuromodulation and emotion. The 13th Toyota
Conference on Affective Minds, 46-47.
2000
Bapi, R. S., Graydon, F. X.,Doya, K. (2000). Time course of learning of motor sequence
representation. 30th Annual Meeting, Society for Neuroscience, 26, 707.
Doya, K. (2000). Metalearning, Neuromodulation and Emotion. Humanoid Challenge, JST
Inter-field Exchange Forum, 87-88.
Doya, K. (2000). Possible roles of neuromodulators in the regulation of learning processes.
30th Annual Meeting, Society for Neuroscience, 26, 2103.
Doya, K. (2000). A possible role of serotonin in regulating the time scale of reward
prediction. Serotonin: From the Molecule to the Clinic, 89.
Doya, K. (2000). Metalearning, neuromodulation, and emotion. G. Hatanao, et al. (eds)
Affective Minds, Elsevier Science, B.V., 101-104.
Doya, K. (2000). Complementary roles of basal ganglia and cerebellum in learning andmotor control. Current Opinion in Neurobiology, 10(6), 732-739.
Doya, K., Katagiri, K., Wolpert, D. M., Kawato, M. (2000). Recognition and imitation of
movement paterns by a multiple predictor-controller architecture. Technical Report of IEICE,
TL2000(11), 33-40.
Doya, K., Samejima, K., Katagiri, K., Kawato, M. (2000). Multiple model-based
reinforcement learning. Kawato Dynamic Brain Project Technical Report, KDB-TR-08, 1-20.
Kimura, H., Doya, K. (2000). Motor control: Neural models and system theory. 14th

International Symposium on Mathematical Theory and Networks and Systems, 232.
Morimoto, J., Doya, K. (2000). Acquisition of stand-up behavior by a real robot using
hierarchical reinforcement learning. 17th International Conference on Machine Learning, 1(1),623-630.
Morimoto, J., Doya, K. (2000). Robust reinforcement learning. Neural Information
Processing Systems 2000, 77.
Morimoto, J., Doya, K. (2000). Robust reinforcement learning. IEICE Neuro-Computing
Workshop, NC2000-49, 59-66.
Ohba, S., Ishii, S., Sato, M. (2000). Variational Bayes method for Mixture of Principal
Component Analyzers. 7th International Conference on Neural Information Processing(ICONIP-2000), 2, 1416-1421.
Samejima, K., Ueda, Y., Kimura, M., Doya, K., Schweighofer, N. (2000). Information codingof the striatal neurons during seqential movement. 30th Annual Meeting, Society for
Neuroscience, 26, 681.
Sato, M. (2000). On-line Bayesian Learning and Model Selection. 7th International
Conference on Neural Information Processing, 1, 470-475.
Sato, M. (2000). Convergence of On-line EM Algorithm. 7th International Conference on
Neural Information Processing, 1, 476-481.
2001
Bapi, R. S., Doya, K. (2001). Multiple forward model architecture for sequence Processing.
R. Sun and C. L. Giles (eds) Sequence Learning, Springer, 309-320.
Doya, K. (2001). Robotic neuroscience: A synthetic approach to the brain. Neuroscience
Research Supplement, 24(1), S16.
Doya, K. (2001). Regulatory roles of serotonin and norepinephrine in reinforcement
learning. 9th International Catecholamine Symposium, 36,S19-4.
Doya, K. (2001). Specialization of cerebellum, basal ganglia, and cerebral cortex insupervised, reinforcement, and unsupervised learning. Stockholm Workshop on Computational
Neuroscience, 13.
Doya, K., Kimura, H., Kawato, M. (2001). Neural mechanisms of learning and control. IEEE
Control Systems Magazine, 21(4), 42-54.

Doya, K., Kimura, H., Miyamura, A. (2001). Motor control: Neural models and systemtheory. International Journal of Applied Mathematics and Computer Science, 11(1), 77-104.
Kuroda, S., Yamamoto, K., Miyamoto, H., Doya, K., Kawato, M. (2001). Statisticalcharacteristics of climbing fiber spikes necessary for efficient cerebellar learning. Biological
Cybernetics, 84(3), 183-192.
Matsumoto, N., Okada, M., Doya, K., Sugase, Y., Yamane, S., Kawano, K (2001). Dynamics
of the face-responsive neurons in the temporal cortex. Neuroscience Research Supplement,
24(1), S73.
Morimoto, J., Doya, K. (2001). Acquisition of stand-up behavior by a real robot using
hierarchical reinforcement learning. Robotics and Autonomous Systems, 36, 37-51.
Morimoto, J., Doya, K. (2001). Robust reinforcement learning. V.Tresp et al.(eds.)
Advances in Neural Information Processing Systems 13. MIT Press, 1061-1067.
Nakahara, H., Doya, K., Hikosaka, O. (2001). Parallel cortico-basal ganglia mechanisms foracquisition and execution of visuo-motor sequences - A computational approach. Journal of
Cognitive Neuroscience, 13(5), 626-647.
Sato, M. (2001). On-line model selection based on the variational Bayes. NeuralComputation, 13(7), 1649-1681.
Yoshimoto, J., Ishii, S., Sato, M. (2001). Application of reinforcement learning based on
on-line EM algorithm to balancing of acrobot. Systems and Computers in Japan, 32(5), 12-20.
2002
Asahi, S., Okamoto, Y., Okada, G., Morinobu, S., Yamawaki, S., Doya, K. (2002).
Relationship between brain activation during GO/NOGO task and impulsiveness: A fMRI study.
32nd Annual Meeting, Society for Neuroscience , 78.5.
Capi, G., Uchibe, E., Doya, K. (2002). Selection of neural architecture and the environment
complexity. The 3rd International Symposium on Human and Artificial Intelligence Systems:
Dynamic Systems Approach for Embodiment and Sociality, 231-237.
Doya, K. (2002). Metalearning and neuromodulation. Neural Networks, 15, 495-506.
Doya, K., Dayan,P, Hasselmo M. E. (2002). Computational models of neuromodulation.
Neural Networks , 15, 475-477.

Doya, K., Samejima, K., Katagiri, K., Kawato, M. (2002). Multiple model-based
reinforcement learning. Neural Computation, 14(6), 1347-1369.
Okada, G.,Okamoto,Y., Ueda, K., Morinobu, S., Yamawaki, S.,, Doya, K.(2002). Selection
between small, immediate rewards and large, delayed rewards in prediction of future reward:
A functional magnetic resonance imaging study. 8th International Conference on Functional
Mapping of the Human Brain, 968.
Oba,S., Sato,M., Takemasa,I., Monden,M., Matsubara,K., Ishii,S. (2002). Missing value
estimation using mixture of PCAs. ICANN 2002, 492-497.
Sato, M., Nakamura,Y., Ishii,S. (2002). Reinforcement Learning for Biped Locomotion.
ICANN 2002, 777-782.
Sato, M., Oba,S. (2002). Incremental Sparse Kernel Machine. ICANN 2002, 700-706.
Schweighofer, N., Doya, K. (2002). A biologically plausible computational model ofmeta-learning in reinforcement learning. 32nd Annual Meeting, Society for Neuroscience ,283.20.
Ueda, Y., Samejima, K., Doya, K., Kimura, M. (2002). Reward value-dependent striate
neuron activity of monkey performing trial-and-error behavioral decision task. Society for
Neuroscience 32nd Annual Meeting, 765.13.
2003
Capi, G., Uchibe, E., Doya, K. (2003). Selection of Neural Architecture and the Environment
Complexity. Dynamic Systems Approach for Embodiment and Sociality from EcologicalPsychology to Robotics, 6, 311-317.
Capi, G., Doya, K. (2003). Evolving Recurrent Neural Controllers for Sequential Tasks - A
Parallel Implementation. Congress on Evolutionary Computation .
Daniel M Wolpert, D. M., Doya, K., Kawato, M. (2003). A unifying computationalframework for motor control and social interaction.. Philosophical Transactions of the Royal
Society, 358, 593-602.
Doya, K. (2003). Enjoy now or strive for future: Neural mechanisms of reward prediction
at different time scales. RIKEN BSI Summer Program 2003, 36.
Doya, K. (2003). A Computational Theory of Neuromodulation . International Symposium"New Horizons in Molecular Sciences and Systems: An Integrated Approach".

Doya, K., Sugimoto, N., Daniel M Wolpert, Kawato, M. (2003). Selecting optimal behaviors
based on contexts. International Symposium on Emergent Mechanisms of Communication(IEMC 2003).
Elfwing, S., Uchibe, E., Doya, K. (2003). An Evolutionary Approach to Automatic
Construction of the Structure in Hierarchical Reinforcement Learning. Genetic andEvolutionary Computation Conference (GECCO 2003), LNCS2723, 507-509.
Eriksson, A., Capi, G. , Doya, K. (2003). Evolution of Meta-parameters in Reinforcement
Learning Algorithm. IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS2003), 412-417.
Nakamura,Y., Sato, M., Ishii,S. (2003). Reinforcement Learning for Biped Robot. 2nd
International Symposium on Adaptive Motion of Animals and Machines (AMAM2003), 36.
Oba,S., Sato, M., Ishii, S. (2003). Prior hyperparameters in Bayesian PCA. Joint 13th
International Conference on Artificial Neural Networks and 10th International Conference On
Neural Information Processing (ICANN/ICONIP2003), 271-279.
Samejima, K., Ueda, Y., Doya, K., Kimura, M. (2003). ACTIVITY OF STRIATE PROJECTION
NEURONS ENCODES ACTION-SELECTIVE REWARD EXPECTATIONS . Society for Neuroscience
33rd Annual Meeting .
Samejima, K., Doya, K., Kawato, M. (2003). Inter-module credit assignment in modular
reinforcement learning. Neural Networks, 16(7), 985-994.
Tanaka, S., Doya, K., Okada, G., Ueda, K., Okamoto, Y., Yamawaki, S. (2003). Prediction of
Immediate and Future Rewards Differentially Recruits Cortico-Basal Ganglia Loops. Society for
Neuroscience 33rd Annual Meeting.
Tanaka, S. , Doya, K., Okada, G. , Ueda, K. , Okamoto, Y., Yamawaki, S. (2003). Different
Cortico-Basal Ganglia Loops Specialize in Reward Prediction on Different Time Scales.
Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003).
2004
Bando, T., Shibata, T., Doya, K., Ishii, S. (2004). Switching particle filters for efficientreal-time visual tracking. International Conference on Pattern Recognition 2005.
Doya, K. (2004). How the basal ganglia realize reinforcement learning. Tamagawa－COE
International Symposium on Attention and Decision, 70.

Doya K. (2004). Molecular and network mechanisms of reinforcement learning. Annual
Meeting of Japanese Physiology Society. Sapporo, Japan.
Doya, K. (2004). Prediction of rewards at different time scales in the basal ganglia.
Computational and Neural Systems,California Institute of Technology.
Doya, K. (2004). Cyber rodents: Exploration of adaptive mechanisms for self-preservationand self-reproduction. Neurorobotic models in Neuroscience and Neuroinformatics.
Doya, K. (2004). Metalearning and neuromodulation. 2004 Telluride Workshop on
Neuromorphic Engineering.
Doya, K. (2004). Metalearning, neuromodulation and emotion. Laboratory talk (Salkinstitute).
Doya, K. (2004). Metalearning, neuromodulation and emotion. Laboratory talk (Sony CSL
Paris).
Doya K. (2004). Parallel networks for reward prediction at different time scales. The
Mechanism of Brain and Mind Workshop. Yuzawa, Japan.
Doya K. (2004). Designing the reward system. 14th Annual Meeting, Japanese Neural
Network Society.Kyoto, Japan.
Doya K. (2004). Reward prediction in the striatum and its modulation by serotonin. NIPS
2004 Workshop on Reinforcement Learning and the Brain: Beyond the Dopamine System.
Whistler, Canada.
Elfwing S., Uchibe E., Doya K., Christensen H. I. (2004). Multi-Agent Reinforcement
Learning: Using Macro Actions to Learn a Mating Task. IEEE/RSJ International Conference onIntelligent Robots and Systems, Sendai, Japan.
Haruno, M., Kuroda, T., Doya, K. , Toyama, K. , Kimura, M. , Samejima, K. , Imamizu, H. ,Kawato, M. (2004). A neural correlate of reward-based behavioral learning in caudate nucleus:
a functional magnetic resonance imaging study of a stochastic decision task. Journal of
Neuroscience, 24(7), 1660-1665.
Kawawaki, D., Shibata, T., Goda, N., Doya, K., Kawato, M. (2004). Anterior and superior
lateral occipito-temporal cortex responsible for target motion prediction during overt andcovert visual pursuit. Society for Neuroscience 34th Annual Meeting, 64.
Klein, M., Kamp, H., Palm, G., Doya, K. (2004). Expressing and understanding desires inlanguage games. Ninth International Conference on the Simulation and Synthesis of Living

Systems (ALIFE9).
Morimura T., Matsuyama K., Hayashi T., Samejima K., Doya K. (2004). Validation ofdecision making models by sequential Monte Carlo method applied to human decision data.
The Mechanism of Brain and Mind Workshop, Yuzawa, Japan.
Samejima K., Doya K., Ueda K., Kimura M. (2004). Estimating internal variables andparameters of a learning agent by a particle filter. Advances in Neural Information Processing
Systems16, 1335-1342, MIT Press. [PDF]
Sato, M., Yoshioka, T., Kajiwara, S., Toyama, K., Goda, N., Doya, K., Kawato, M. (2004).
Hierarchical bayesian estimation for MEG inverse problem. NeuroImage, 23, 806-826.
Sato, M., Yoshioka, T., Kajiwara, S., Toyama, K., Goda, N., Doya, K., Kawato, M. (2004).
Hierarchical variational Bayesian method for MEG. BIOMAG2004, 609.
Schweighofer, N., Doya, K., Kuroda, S. (2004). Cerebellar aminergic neuromodulation:
towards a functional understanding. Brain Research Reviews, 44, 103-116.
Schweighofer, N., Doya, K., Fukai, H. , Chiron, Jean V., Furukawa, T., Kawato, M. (2004).
Chaos may enhance information transmission in the inferior olive. Proceedings of the National
Academy of Sciences, USA, 101(13), 4655-4660.
Schweighofer,N., Tanaka, S., Asahi, S., Okamoto, Y., Doya, K., Yamawaki, S. (2004). An
fMRI study of the delay discounting of reward after tryptophan depletion and loading. 1:
decision-making. Society for Neuroscience 34th Annual Meeting, 97.
Sugimoto, N, Doya, K., Kawato, M. (2004). Cooperation by estimating other's internal
state. Ninth Neural Computation and Psychology Workshop, modelling language, cognition andaction.
Tanaka, S., Doya, K., Okada, G., Ueda, K., Okamoto, Y., Yamawaki, S. (2004). Prediction of
immediate and future rewards differentially recruits cortico-basal ganglia loops. Nature
Neuroscience, 7(8), 887-893.
Tanaka, S. , Doya, K., Okada, G., Ueda, K. , Okamoto, Y. , Yamawaki, S. (2004). Parallelmechanisms of cortico-basal ganglia loops for decision-making by reward prediction at
different time scales. 2nd International Symposium on Emergent Mechanisms ofCommunication in the Brain, 71.
Tanaka, S., Schweighofer,N., Asahi, S., Okamoto, Y., Yamawaki, S., Doya, K. (2004). An
fMRI study of the delay discounting of reward after tryptophan depletion and loading. 2:

reward expectation. Society for Neuroscience 34th Annual Meeting, 98.
Yoshioka, T., Sato, M., Kajiwara, S., Toyama, K., Goda, N., Doya, K., Kawato, M. (2004). An
analysis of MEG data by hierarchical variational Bayesian method. BIOMAG2004, 611.
Uchibe, E., Doya, K. (2004). Competitive-cooperative-concurrent reinforcement learningwith importance sampling. The Eighth International Conference on the Simulation of Adaptive
Behavior, 287-296.
Uchibe, E., Capi, G., Elfwing, S., Eriksson, A., Suzuyama, H, Doya, K. (2004). Cyber rodent
project. Symposium: Towards Artificial Rodents.
Uchibe E., Doya K. (2004). Selection from multiple reward functions forcooperative-competitive-concurrent reinforcement learning. Towards Artificial Rodents.
Laboratoire d'Informatique de Paris 6. Paris, France.
2005
Bando, T., Shibata, T., Doya, K., Ishii, S. (2005). Hard / soft switching particle filters for
efficient real-time visual tracking. International Symposium on Artificial Life and Robotics 2005.
Bissmarck, F., Nakahara, H., Doya, K., Hikosaka, O. (2005). Responding to modalities withdifferent latencies. Advances in Neural Information Processing Systems, MIT Press.
Capi, G., Doya, K. (2005). Evolution of neural architecture fitting environmental dynamics.
Adaptive Behavior, 13,53-66.[pdf]Doya K. (2005). Encoding of future rewards in the striatum. Cold Spring Harbor Workshop
on Neural Information and Coding, Mangalore, India.
Doya K. (2005). Reward prediction in the striatum and its modulation by serotonin.
Seminar at Sloan-Swartz Center for Theoretical Neurobiology, Brandeis University. Waltham,
USA.
Morimoto, J., Doya, K. (2005). Robust reinforcement learning. Neural Computation, 17,335-359.
【Learning Theory Group】
2000
Nakada, Y., Matsumoto, T. (2000). Nonlinear time series predictions via hierarchical
Baysian MCMC: Predictive mean and error bar. 7th International Conference on Neural

Information Processing, 1, 199-204.
Nakajima, Y., Nakada Y., Satoh, Y., Matsumoto, T., Asano, M. (2000). Quadratic
approximation vs. MCMC predictive mean computations and model comparisons forhierarchical Bayes approach with neural nets . 2000 IEEE International Symposium onIntelligent Signal Processing and Communication Systems, 2(A8-4-3), 765-770.
Sato, M., Asano, M, Matsumoto, T. (2000). A hierarchical bayesian nonlinear time series
prediction weighted by marginal likelihoods. 2000 IEEE International Workshop on Neural
Networks for Signal Processing, 1, 115-124.
2001
Kurihara.T, Yosui.K, Matsumoto, T. (2001). A Sequenticl Monte Carlo Bayesian On-Line
Learning. The 9th International Symposium on Intelligent Signal Processing andCommunications Systems(ISPACS2001), 381-385.
Matsumoto, T., Nakajima, Y., Sato, M., Sugi, J. , Hamagishi, H. (2001). Reconstructions andpredictions of nonlinear dynamical systems: A hierarchical Bayesian approach. IEEE
Transactions on Signal Processing, 49(9), .
Nakada, Y., Kurihara.T., Matsumoto, T. (2001). Baysian MCMC Nonlinear Time Series
Prediction. IEEE Signal Processing Society International Conference on Acoustics,Speech, andSignal Processing 2001.
Yosui.K, Kurihara.T, Nakada, Y., Matsumoto, T. (2001). Baysian Nonlinear Time Series
Prediction Via MCMC. 2001 IEEE-EURASIP Workshop on Nonlinear Signal and Image
Processing.Yosui.K, Kurihara.T, Matsumoto, T. (2001). Automatical Learning ofHyperparameters via Sequential Monte Carlo. New Trends in Optimization and Computational
Algorithms(NTOC2001), 121-122.
2003
Souma T., Yosui, K., Kurihara, T., Matsumoto T. (2003). Reconstructions and predictions of
nonlinear dynamical systems by Rao-Blackwellised sequential Monte Carlo. IEEEICASSP2003(2003 International Conference on Acoustics, Speech, and Signal Processing), ・,
777-780.
Souma T., Yosui, K., Matsumoto T. (2003). Bayesian reconstructions and predictions ofnonlinear dynamical systems by Rao-Blackwellised sequential Monte Carlo. Practical Bayesian
Statistics 5, Milton Keynes.
2005
Nakada, Y., Matsumoto, T., Kurihara.T., Yosui, K. (2005). Bayesian reconstructions andpredictions of nonlinear dynamical systems via the hybrid Monte Carlo scheme . Signal
Processing, 85(1), 129-145.
【Adaptive Systems Group】
2000
Amemori, K., Ishii, S. (2000). Effect of the synaptic time constant on stochastic spiking
neurons. 7th International Conference on Neural Information Processing, 1, 6-11.
Amemori, K., Ishii, S. (2000). Gaussian process approach to spiking neurons forinhomogeneous Poisson inputs. Neural Computation, 13(12), 2763-277.
Nagayuki, Y., Ishii, S., Doya, K. (2000). Multi-agent reinforcement learning: An approachbased on the other agent's internal model. Fourth International Conference on Multi-Agent
Systems, 215-221.
Nagayuki, Y., Ishii, S., Ito, M., Shimohara, K., Doya, K. (2000). A multi-agent reinforcement
learning method with the estimation of the other agent's actions. Fifth International
Symposium on Artifical Life and Robotics, 1, 255-259.
Niitsuma, H., Ishii, S. (2000). Learning minimax strategy by support vector machines. 7thInternational Conference on Neural Information Processing (ICONIP-2000), 2, 1432-1437.
Yoshimoto, J., Ishii, S., Sato, M. (2000). On-line EM reinforcement learning. International
Joint Conference on Neural Networks , 3, 163-168.
2001
Amemori, K., Ishii, S. (2001). Gaussian process approach to spiking neurons forinhomogeneous Poisson inputs. Neural Computation, 13(12), 2763-2797.
Amemori, K., Ishii, S. (2001). A link between behavioral and physiological modelings ofnoradrenergic modulation. CREST Workshop on Metalearning and Neuromodulation , 32.
Amemori, K., Ishii, S. (2001). Gaussian process approach to stochastic spiking neurons

with reset. International Conference on Artificial Neural Networks, 1, 358-365.
Amemori, K., Ishii, S. (2001). Resonance of a stochastic spiking neuron that mimics the
Hodgkin-Huxley model. International Conference on Artificial Neural Networks, 1, 1069-1076.
Ishii, S. (2001). Control of exploration-exploitation balance in reinforcement learning.
CREST Workshop on Metalearning and Neuromodulation , 16.
Ohba, S., Sato, M., Ishii, S. (2001). On-line learning methods for Gaussian processes.
International Conference on Artificial Neural Networks, 1, 292-299.
Tamakoshi, H., Ishii, S., Yoshida, W., Sato, M. (2001). Vowel synthesis by on-line EM
algorithm with IIR filter. International Joint Conference on Neural Networks, 1, 2821-2825.
Yoshimoto. J., Ishii, S., Sato, M. (2001). Application of Reinforcement Learning Based on
On-Line EM Algorithm to Balancing of Acrobot. Systems and Computers in Japan, 32(5), 12-20.
Yoshioka, T., Ishii, S. (2001). Fast Gaussian process regression using representative data.
International Joint Conference on Neural Networks, 1, 132-137.
2002
Ishii, S., Yoshida, W., Yoshimoto, J. (2002). Control of exploitaion-exploration
meta-parameter in reinforcement learning. Neural Networks, 15(4/5), .
Sakumura, Y, Ishii, S. (2002). The Differential Operation by Neural Assembly . "2002International Symposium on Nonlinear Theory and its Applications (NOLTA 2002)".
Yoshimoto, J., Ishii, S., Sato, M. (2002). Hierarchical Model Selection for NGnet Based on
Variational Bayes Method. International Conference on Artificial

Neural Networks 2002

(ICANN 2002), 661-666.
2003
Fujita, H., Matsuno, Y., Ishii, S. (2003). A reinforcement learning scheme for a multi-agent
card game. IEEE International Conference System Man & Cybernetics 2003.
Kanemoto, K., Yoshimoto, J., Ishii, S. (2004). A probabilistic approach to identify
environmental models of mobile robots. The Ninth International Symposium on Artificial Lifeand Robotics (AROB 9th '04).

Nishimura, M., Yoshimoto, J., Ishii, S. (2004). Acrobot control by learning the switching ofmultiple controllers. The Ninth International Symposium on Artificial Life and Robotics (AROB
9th '04).
Nakamura,Y., Sato, M., Ishii,S. (2003). Reinforcement Learning for Biped Robot. 2nd
International Symposium on Adaptive Motion of Animals and Machines (AMAM2003), 36.
Oba,S., Sato, M., Ishii, S. (2003). Prior hyperparameters in Bayesian PCA. Joint 13th
International Conference on Artificial Neural Networks and 10th International Conference On
Neural Information Processing (ICANN/ICONIP2003), 271-279.
Oba, S., Sato, M., Ishii, S. (2003). Variational Bayes method for mixture of principal
component analyzers. Systems and Computers in Japan, 34(11), 55-56.
Oba,S., Sato, M., Takemasa, I., Monden, M., Matsubara, K., Ishii, S. (2003). A Bayesian
missing value estimation method for gene expression profile data. Bioinformatics, 19,
2088-2096.
Oba,S., Sato, M., Ishii, S. (2003). Prior hyperparameters in Bayesian PCA. International
Conference of Artificial Neural Networks(ICANN2003; Istanbul), 34(11), 55-56.
Yoshida, W., Ishii, S. (2003). A possible function of anterior prefrontal cortex in amodel-based reinforcement learning: a computational model and an fMRI study. Twelfth
Annual Computational Neuroscience Meeting (CNS).
Yoshida, W., Ishii, S. (2003). A model-based reinforcement learning: a computationalmodel and an fMRI study. 11th European Symposium on Artificial Neural Networks(ESANN2003).
Yoshimoto, J., Ishii, S., Sato, M. (2003). System Identification Based on On-line Variational
Bayes Method and Its Application to Reinforcement Learning. Joint 13th International
Conference on Artificial Neural Networks and 10th International Conference On Neural
Information Processing (ICANN/ICONIP2003), 123-131.
2004
Kanemoto, K., Yoshimoto, J., Ishii, S. (2004). A probabilistic approach to identify

environmental models of mobile robots.. The Ninth International Symposium on Artificial Lifeand Robotics (AROB 9th '04).
Mori T., Nakamura,Y., Sato, M., Ishii, S. (2004). Reinforcement learning for CPG-driven
biped robot. The Nineteenth National Conference on Artificial Intelligence（AAAI2004）.
Nishimura, M., Yoshimoto, J., Ishii, S. (2004). Acrobot Control by Learning the Switching ofMultiple Controllers.. The Ninth International Symposium on Artificial Life and Robotics (AROB
9th '04).
Shibata, T., Suhara, Y., Oga, T., Ueki, Y., Mima, T., Ishii, S. (2004). Application ofmultivariate autoregressive modeling for analyzing the interaction between EEG and EMG in
humans. ISBET2004.
Yoshida, W., Ishii, S. (2004). A model of reinforcement learning and effects ofneuromodulation. NAIST-COE Symposium.
Yoshimoto, J., Ishii, S. (2004). A Solving Method for MDPs by Minimizing Variational Free
Energy. 2004 International Joint Conference on Neural Networks (IJCNN 2004).
【Emotional Memory Group】
2000
Shirao, T., Sekino, Y. (2000). Clustering and anchoring mechanisms of molecularconstituents of postsynaptic scaffolds in the spine. Neuroscience Research, 40, 1-7.
Zhang J., Shirao T., Sekino Y. (2000). Regulation of the synaptic transmission throughadenosine A1receptors and adenylyl cyclase in the CA2 region of rat hippocampus. 30th
Annual Meeting, Society for Neuroscience, 26, 404.
2001
Ikeda, M., Sagara, M., Sekino, Y., Shirao, T., Honda, K., Yoshioka, T., Allen, C.N., Inoue, S.
(2001). The sulphydryl reagent, N-ethylmaleimide, disrupts sleep and blocks A1 adenosine
receptor-mediated inhibition of inracellular calcium signaling in the in vitro ventromedialpreoptic nucleus. Neuroscience, 106(4), 733-743.
Ito, M., Miyake, S., Sawada, Y. (2001). Rat Navigation problems and Internal Coding.
CREST Workship on Metalearning and Neuromodulation.
Ito, M., Samejima, K., Miyake, S., Sawada, Y. (2001). Reinforcement Learning Models Of

Rat Navigation Tasks. 31st Society for Neuroscience.
Kobayashi S., Shirao, T., Sasaki, T. (2001). Drebrin expression is increased in spinal
motoneurons after axotomy. Neuroscience Letters, 311, 165-168.
Sekino, Y., Zhang J., Shirao, T. (2001). Synergistic effect of forskolin and adenosine
A1receptor antagonist on synaptic transmission in the rat hippocampal slices. 74th Annual
Meeting of The Japanese Pharmacological Society, 814.
Sekino, Y. (2001). Adenosine A1 receptors regulate information acquisition in the
hippocampus. CREST Workshop on Metalearning and Neuromodulation.
Shirao, T., Sekino, Y. (2001). Metaplasticity and regulation of the spine-neck length indentric. CREST Workshop on Metalearning and Neuromodulation.
Takahashi, H., Sekino, Y., Shirao, T. (2001). Reversible translocationof actin-binding
protein drebrin by glutamate receptor activity in cultured hippocampal neurons. 31st Annual
Meeting of Society for Neuroscience .
Takahashi, H., Sekino, Y., Shirao, T. (2001). Activity-dependent redistribution ofactin-binding protein drebrin in synaptic plasticity in cultured hippocampal neurons. The 11th
Neuro-pharmacology Conference .
Tanaka, T., Sekino, Y., Shirao, T. (2001). Change of dendritic spine length induced bydrebrin A knockdown using antisense oligonucleotied in vitro. 31st Annual Meeting of Society
for Neuroscience .
Tanaka, T., Sekino, Y., Shirao, T. (2001). Morphological analysis of the dendritic spines
induced by drebrin A knockdown using antisense oligonulceotides in the cultured corticalneurons. The 11th Neuro-pharmacology Conference .
Yamazaki H., Takahashi, H., Aoki, T., Shirao, T. (2001). Molecular Cloning and Dendritic
Localization of rat SH3P7. European Journal of Neuroscience, 14(6), 998-1008.2002
2002
Shirao, T. (2002). Inhibition of drebrin-A expression blocked the postsynaptic actin
specialization in the dendritic filpodia. INMED Conference 2002.
Shirao, T. (2002). Changes of Actin-Drebrin Complex in Spine Formation and Synaptic
Plasticity. 第 25 回日本神経科学大会, (S13-2)111.
Shirao, T., Takahashi, H., Sekino, Y. (2002). Inhibition of Drebrin-A Expresseion Blocked thePostsynaptic Actin Specialization in the Dendritic Filopodia. INMED conference Nature andNurture in Brain Development.
Sekino, Y., Shirao, T. (2002). Tonic activity of adenosine A1 receptors regulates the signal
flow at the CA2 region in rat hippocampus: Optical recording analysis. The 28th NIPS
International Symposium .
Satoshi, T., Sekino, Y., Shirao, T. (2002). Suppression of drebrin A expression blockes
a-actinin disappearance induced by glutamate in cortical neuronal cultures. 32nd Annual
Meeting, Society for Neuroscience.
2003
Beraudi, A., Traversa, U., Villani, L., Sekino, Y., Nagy, J.I., Poli, A. (2003). Distribution andexpression of A1 adenosine receptors, adenosine deaminase and adenosine
deaminase-binding protein (CD26) in goldfish brain. Neurochemistry International., 42(6),455-464.
Ferhat, L., Esclapez, M., Represa, A., Fattoum, A., Shirao, T., Ben-Ari, Y. (2003).
Upregulation of acidic calponin during dendritic spine plasticity following pilocarpine-induced
seizures. Hippocampus, 13(7), 845-858.
Ito, M., Doya, K., Shirao, T., Sekino, Y. (2003). Spatial distribution of fos-positive neurons
in the supramammillary nucleus and the hippocampus of rats placed in a novel environment..
Society for Neuroscience 33rd Annual Meeting .
Ito, M., Doya, K., Shirao, T., Sekino, Y. (2003). The supramammillary nucleus modulates
the neuronal activity in the amygdala of rats placed in a novel environment. Japanese Neural
Network Society.
Kobayashi, C., Shirao, T. (2003). Establishment of drebrin A transgenic mice lines and theirtransgene expression alanysis. First COE International Symposium.
Kobayashi, C., Ito, M., Kobayashi S., Saji, M., Shirao, T., Sekino, Y. (2003). Abnormal shapeof dendritic filopodia and spines induced by overexpression of drebrin A in cultured
hippocampal neurons. Neuro2003.
Mizui, T., Takahashi, H., Koyama, H., Shirao, T. (2003). Abnormal shape of dendritic
filopodia and spines induced by overexpression of drebrin A in cultured hippocampal neurons.
Neuro2003.

Mizui, T., Shirao, T., Sekino, Y. (2003). Activation of glutamate receptors translocatesdrebrin from dendritic spines to the parent dendrite in hippocamal neurons. First COE
International Symposium.
Mizui, T., Hanayama, k., Sekino, Y. (2003). Redistribution of drebrin, an actin-binding
protein in dendritic spines, induced by activation of glutamate receptors in hippocamal
neurons. Annual Meeting of the Japanese Society for Neurochemistry.
Sekino, Y., Tanaka, S., Shirao, T. (2003). Drebrin is redistributed to the dendritic shaftswith actin filaments by glutamate receptor activation . Neuro2003.
Sekino, Y., Shirao, T., Obata, K. (2003). Adenosine A1 Receptor Activity Regulates Signal
Processing in the Hippocampus. IBRO.
Shirao, T., Takahashi, H., Sekino, Y., Obata, K. (2003). Drebrin Clustering in Dendritic
Filopodia is a First Essential Step of Dendritic Spine Morphogenesis. IBRO.
Shirao, T., Takahashi, H., Sekino, Y. (2003). Drebrin Clustering with Actin Filaments is an
Essential Step of Dendritic Spine Morphogenesis. IBRO Presymposium.
Shirao, N., Okamoto, Y., Okada, G., Okamoto, Yu., Yamawaki, S. (2003). Temporomesial
activation in young females associated with unpleasant words concerning body image.
Neuropsychobiology, 48, 136-142.
Takahashi, H., Sekino, Y., Tanaka, S., Mizui, T., Kishi, S., Shirao, T. (2003).
Drebrin-dependent actin clustering in dendritic filopodia governs synaptic targeting of
postsynaptic density-95 and dendritic spine morphogenesis. Journal of Neuroscience, 23(16),6586-6595.
Takahashi, H., Shirao, T. (2003). Functional roles of actin cytoskeleton in dendritic spine
morphogenesis during development. Neuro2003.
Takahashi, H., Shirao, T. (2003). Cluster formation of drebrin in dendritic filopodia is an
essential step for dendritic spine morphogenesis. COE International Symposium.
Yamazaki H., Kobayashi, C., Mizui, T., Shirao, T. (2003). Subcellular localization of Drap1,
drebrin associated protein 1, in cultured hippocampal neurons. The 26th Annual Meeting of
the Japan Neuroscience Society.
Yamazaki, H., Mizui, T., Shirao, T. (2003). Domain analysis of Drebrin-associated protein 1,
Drap1. Annual Meeting of the Japanese Society for Neurochemistry.

2004
Ito M., Doya K., Shirao T., Sekino Y. (2004). Ibotenic acid lesions of the supramammillary
nucleus decreased c-Fos expression in the hippocampus of rats exploring in an open field.
Annual Meeting of Japanese Physiology Society, Sapporo, Japan.
Ito, M., Doya, K., Shirao, T., Sekino, Y. (2004). Fos imaging reveals that the
supramammillary nucleus enhances hippocampal activity of rats placed in a novel open field.
Society for Neuroscience 34th Annual Meeting, 96.
Tezuka, M, Oda, O., Shirao, T., Inoue, HK. (2004). Microglia/macrophage reactions and cellproliferation during the repair of spinal cord injuries in infant rats. Neurotrauma Res, 15.
【Learninig Modulation Group】
2000
Iba, M., Sawaguchi. T. (2000). Local Injections of an alfa-2 noradrenergic antagonist into
the dorsal prefrontal cortex induce specific deficits in visuospatial selective attention. 30th
Annual Meeting, Society for Neuroscience, 26, 657.22.
Kikuchi-Yorioka, Y., Sawaguchi, T. (2000). Parallel visuospatial and audiospatial working
memory processes in the monkey dorsolateral prefrontal cortex. Nature Neuroscience, 3(11),1075-1076.
Kikuchi-Yorioka, Y., Sawaguchi, T. (2000). The effect of local inactivation in thedorsolateral prefrontal cortex on visual and auditory working memory tasks. Society of
Neuroscience , 26, 365.8.
Sawaguchi, T. (2000). The role of D1-dopamine receptors in working memory-guided
movements mediated by frontal cortical areas. Parkinsonism & Related Disorders, 7, 9-19.
2001
Iba, M., Sawaguchi, T. (2001). Pop-out independent target selection in the monkey
dorsolateral prefrontal cortex. Neuroscience Research Supplement, 24(1), S135.
Kikuchi-Yorioka, Y., Sawaguchi, T., Miyauchi. S. (2001). Prefrontal and temporal activation
during an associative learning task as revealed by fMRI. Neuroscience Research Supplement,
24(1), S299.
Sawaguchi, T., Iba, M. (2001). Prefrontal cortical representation of visuospatial working

memory in monkeys examined by local inactivation with muscimol. Journal of Neurophysiology,
86(4), 2041-2053.
Sawaguchi, T. (2001). The effects of dopamine and its antagonists on directional
delay-period activity of prefrontal neurons in monkeys during an oculomotor delayed-responsetask. Neuroscience Research, 41(2), 115-128.
Sawaguchi, T. (2001). Unmasking of silent "task-related" neuronal activity in the monkey
prefrontal cortex by a GABAα antagonist. Neuroscience Research, 39(1), 123-131.
2002
Hirata, Y., Sawaguchi, T. (2002). Enhancement of columnar activity induced by activationof D1-dopamine receptors in the monkey prefrontal cortex. 32nd Annual Meeting, Society for
Neuroscience.
Tsujimoto, S., Sawaguchi, T. (2002). Neuronal activity representing directional
response-outcome in the primate prefrontal cortex . 32nd Annual Meeting, Society for
Neuroscience.
2003
Tsujimoto, S., Sawaguchi, T. (2004). Properties of delay-period neuronal activity in the
primate prefrontal cortex during memory- and sensory-guided saccade tasks. European Journalof Neuroscience, 19, 447-457.
Tsujimoto, S., Sawaguchi, T. (2004). Neuronal representation of response-outcome in the
primate prefrontal cortex. Cerebral Cortex, 14, 47-55.
Tsujimoto, S., Yamamoto, T, Kawaguchi, H., Koizumi, H., Sawaguchi, T. (2003). Functional
maturation of the prefrontal cortex in preschool children measured by optical topography.
Society for Neuroscience 33rd Annual Meeting.
【Mental Pharmacology Group】
2001
Fukumoto,T., Morinobu, S., Okamoto,Y., Kagaya,A., Yamawaki,S. (2001). Chronic lithium
treatment increases the expression of brain-derived neurotrophic factor in the rat brain..
Psychopharmacology, 158, 100-106.

Katagiri,H., Kagaya, A., Nakae, S., Morinobu,S.,Yamawaki, S. (2001). Modulation ofserotonin-2A receptor function in rats after repeated treatment with dexamethasone andL-type calcium channel antagonist nimodipine.. Prog. Neuro-Psychopharmacol. & Biol.
Psychiat., 25, 1269-1281.
Kurata, K., Takebayashi,M., Kagaya, A., Morinobu, S., Yamawaki, S. (2001). Effect of
β-estradiol on voltage-gated Ca2+ channels in rat hippocampal neurons: A comparison withdehydroepiandrosterone. European Journal of Pharmacology, 416(3), 203-212.
Miyoshi, I., Kagaya, A., Kohchi, C., Morinobu, s., Yamawaki, S. (2001). Characterization of
5-HT2A receptor desensitization and the effect of cycloheximide on it in C6 cells. Journal of
Neural Transmission, 108(3), 249-260.
Yamashita,H., Fujikawa, T., Yanai,I., Morinobu,S., Yamawaki,S. (2001). Clinical features
and treatment response of patients with major depression and silent cerebral infarction..
Neuropsychobiology, 176-182.
Yamawaki, S., Kagaya, A., Okamoto, Y., Takebayashi, M., Saeki, T. (2001). Effects ofantidepressants and lithium on intracellular calcium signaling.. Contemporary Neuropsychiatry ,257-262.
2002
Asahi, S., Okamoto, Y., Okada, G., Morinobu, S., Yamawaki, S., Doya, K. (2002).
Relationship between brain activation during GO/NOGO task and impulsiveness: A fMRI study.
32nd Annual Meeting, Society for Neuroscience , 78.5.
G. Okada, Y. Okamoto, K. Ueda, S. Morinobu, S. Yamawaki, K. Doya (2002). Selection
between small, immediate rewards and large, delayed rewards in prediction of future reward:
A functional magnetic resonance imaging study. 8th International Conference on Functional
Mapping of the Human Brain.
Tamura, T., Morinobu, S., Okamoto, Y., Kagaya, A., Yamawaki, S. (2002). The effects ofantidepressant drug treatments on activator protein-1 binding activity in the rat brain..
Progress in Neuro-Psychopharmacology & Biological Psychiatry, 26, 375-381.
Yamashita,H., Fujikawa, T., Yanai, I., Yamawaki, S. (2002). Cognitive dysfunction inrecovered depressive patients with silent cerebral infarction.. Neuropsychobiology, 45, 12-18.

2003
Shirao, N., Okamoto, Y., Okada, G., Okamoto, Yu., Yamawaki, S. (2003). Temporomesial
activation in young females associated with unpleasant words concerning body image.
Neuropsychobiology, 48, 136-142.
Ueda, K., Okamoto, Y., Okada, G., Yamashita,H., Hori, T., Yamawaki, S. (2003). Brain
activity during expectancy of emotional stimuli: An fMRI study. Neuroreport, 14(1), 51-55.