Jun Namikawa

According to our database, Jun Namikawa authored at least 11 papers between 2006 and 2013.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2013

Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring.

Shingo Murata, Jun Namikawa, Hiroaki Arie, Shigeki Sugano, Jun Tani

IEEE Trans. Auton. Ment. Dev., 2013

Development of Proactive and Reactive Behavior via Meta-learning of Prediction Error Variance.

Shingo Murata, Jun Namikawa, Hiroaki Arie, Jun Tani, Shigeki Sugano

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Learning to reproduce fluctuating behavioral sequences using a dynamic neural network model with time-varying variance estimation mechanism.

Shingo Murata, Jun Namikawa, Hiroaki Arie, Jun Tani, Shigeki Sugano

Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013

2012

Estimation of functional brain connectivity from electrocorticograms using an artificial network model.

Misako Komatsu, Jun Namikawa, Jun Tani, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Kiyohiko Nakamura

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

A Neurodynamic Account of Spontaneous Behaviour.

Jun Namikawa, Ryunosuke Nishimoto, Jun Tani

PLoS Comput. Biol., 2011

2010

Learning to imitate stochastic time series in a compositional way by chaos.

Jun Namikawa, Jun Tani

Neural Networks, 2010

2009

Building Recurrent Neural Networks to Implement Multiple Attractor Dynamics Using the Gradient Descent Method.

Jun Namikawa, Jun Tani

Adv. Artif. Neural Syst., 2009

2008

Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model.

Jun Tani, Ryunosuke Nishimoto, Jun Namikawa, Masato Ito

IEEE Trans. Syst. Man Cybern. Part B, 2008

A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance.

Jun Namikawa, Jun Tani

Neural Networks, 2008

Learning Multiple Goal-Directed Actions Through Self-Organization of a Dynamic Neural Network Model: A Humanoid Robot Experiment.

Ryunosuke Nishimoto, Jun Namikawa, Jun Tani

Adapt. Behav., 2008

2006

Reinforcement Learning Algorithm with CTRNN in Continuous Action Space.

Hiroaki Arie, Jun Namikawa, Tetsuya Ogata, Jun Tani, Shigeki Sugano

Proceedings of the Neural Information Processing, 13th International Conference, 2006