Jun Namikawa

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