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Jun Namikawa
Publication Activity (10 Years)
Years Active: 2006-2013
Publications (10 Years): 0
Top Topics
Network Model
Learning Tasks
Online Learning
Brain Connectivity
Top Venues
ICONIP (1)
ICDL-EPIROB
IEEE Trans. Auton. Ment. Dev.
IJCNN
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Publications
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Shingo Murata
,
Jun Namikawa
,
Hiroaki Arie
,
Jun Tani
,
Shigeki Sugano
Development of Proactive and Reactive Behavior via Meta-learning of Prediction Error Variance.
ICONIP (1)
(2013)
Shingo Murata
,
Jun Namikawa
,
Hiroaki Arie
,
Shigeki Sugano
,
Jun Tani
Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring.
IEEE Trans. Auton. Ment. Dev.
5 (4) (2013)
Shingo Murata
,
Jun Namikawa
,
Hiroaki Arie
,
Jun Tani
,
Shigeki Sugano
Learning to reproduce fluctuating behavioral sequences using a dynamic neural network model with time-varying variance estimation mechanism.
ICDL-EPIROB
(2013)
Misako Komatsu
,
Jun Namikawa
,
Jun Tani
,
Zenas C. Chao
,
Yasuo Nagasaka
,
Naotaka Fujii
,
Kiyohiko Nakamura
Estimation of functional brain connectivity from electrocorticograms using an artificial network model.
IJCNN
(2012)
Jun Namikawa
,
Ryunosuke Nishimoto
,
Jun Tani
A Neurodynamic Account of Spontaneous Behaviour.
PLoS Comput. Biol.
7 (10) (2011)
Jun Namikawa
,
Jun Tani
Learning to imitate stochastic time series in a compositional way by chaos.
Neural Networks
23 (5) (2010)
Jun Namikawa
,
Jun Tani
Building Recurrent Neural Networks to Implement Multiple Attractor Dynamics Using the Gradient Descent Method.
Adv. Artif. Neural Syst.
2009 (2009)
Ryunosuke Nishimoto
,
Jun Namikawa
,
Jun Tani
Learning Multiple Goal-Directed Actions Through Self-Organization of a Dynamic Neural Network Model: A Humanoid Robot Experiment.
Adapt. Behav.
16 (2-3) (2008)
Jun Namikawa
,
Jun Tani
A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance.
Neural Networks
21 (10) (2008)
Jun Tani
,
Ryunosuke Nishimoto
,
Jun Namikawa
,
Masato Ito
Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model.
IEEE Trans. Syst. Man Cybern. Part B
38 (1) (2008)
Hiroaki Arie
,
Jun Namikawa
,
Tetsuya Ogata
,
Jun Tani
,
Shigeki Sugano
Reinforcement Learning Algorithm with CTRNN in Continuous Action Space.
ICONIP (1)
(2006)