Kazuyuki Samejima

According to our database1, Kazuyuki Samejima authored at least 14 papers between 1998 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2018
Reinforcement Learning, not Supervised Learning, Can Lead to Insight.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Neural Phase Synchrony on Understanding Meanings of Symbols.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2012
Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network.
NeuroImage, 2012

Choosing unknown goods: An fMRI study of product choice.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Development of a BCI master switch based on single-trial detection of contingent negative variation related potentials.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

The effect of risk attitude on product choices.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2007
Erratum to "Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics" [Neural Networks 19 (8) (2006) 1233-1241].
Neural Networks, 2007

Estimating Internal Variables of a Decision Maker's Brain: A Model-Based Approach for Neuroscience.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics.
Neural Networks, 2006

2003
Inter-module credit assignment in modular reinforcement learning.
Neural Networks, 2003

Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Multiple Model-Based Reinforcement Learning.
Neural Comput., 2002

1999
Adaptive internal state space construction method for reinforcement learning of a real-world agent.
Neural Networks, 1999

1998
Adaptive State Space Formation in Reinforcement Learning.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998


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