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Showing results 1 to 6 of 6

1
Learning and recognition of multiple fluctuating temporal patterns using S-CTRNN

Murata, Shingo; Arie, Hiroaki; Ogata, Tetsuya; Tani, Jun; Sugano, Shigeki, 24th International Conference on Artificial Neural Networks, ICANN 2014, pp.9 - 16, Springer Verlag, 2014-09

2
Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism

Murata, Shingo; Arie, Hiroaki; Ogata, Tetsuya; Sugano, Shigeki; Tani, Jun, ADVANCED ROBOTICS, v.28, no.17, pp.1189 - 1203, 2014-10

3
Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment

Murata, Shingo; Yamashita, Yuichi; Arie, Hiroaki; Ogata, Testsuya; Sugano, Shigeki; Tani, Jun, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.28, no.4, pp.830 - 848, 2017-04

4
Learning to Reproduce Fluctuating Behavioral Sequences Using a Dynamic Neural Network Model with Time-Varying Variance Estimation Mechanism

Tani, Jun; Murata, Shingo; Namikawa, J; Arie, H; Sugano, H, The Third Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, pp.1 - 6, IEEE, 2013-08-22

5
Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring

Murata, Shingo; Namikawa, Jun; Arie, Hiroaki; Sugano, Shigeki; Tani, Jun, IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT, v.5, no.4, pp.298 - 310, 2013-12

6
Reduced behavioral flexibility by aberrant sensory precision in autism spectrum disorder: A neurorobotics experiment

Idei, Hayato; Murata, Shingo; Chen, Yiwen; Yamashita, Yuichi; Tani, Jun; Ogata, Tetsuya, 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EpiRob 2017, pp.271 - 276, Institute of Electrical and Electronics Engineers Inc., 2017-09

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