| Learning to reproduce fluctuating time series by inferring their time-dependent stochastic properties: Application in robot learning via tutoring S Murata, J Namikawa, H Arie, S Sugano, J Tani IEEE Transactions on Autonomous Mental Development 5 (4), 298-310, 2013 | 74 | 2013 |
| Learning to perceive the world as probabilistic or deterministic via interaction with others: A neuro-robotics experiment S Murata, Y Yamashita, H Arie, T Ogata, S Sugano, J Tani IEEE transactions on neural networks and learning systems 28 (4), 830-848, 2015 | 46 | 2015 |
| Dynamical integration of language and behavior in a recurrent neural network for human–robot interaction T Yamada, S Murata, H Arie, T Ogata Frontiers in neurorobotics 10, 5, 2016 | 35 | 2016 |
| Multiclass classification of driver perceived workload using long short-term memory based recurrent neural network UE Manawadu, T Kawano, S Murata, M Kamezaki, J Muramatsu, ... 2018 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2018 | 29 | 2018 |
| A neurorobotics simulation of autistic behavior induced by unusual sensory precision H Idei, S Murata, Y Chen, Y Yamashita, J Tani, T Ogata Computational Psychiatry (Cambridge, Mass.) 2, 164, 2018 | 21 | 2018 |
| Emergence of interactive behaviors between two robots by prediction error minimization mechanism Y Chen, S Murata, H Arie, T Ogata, J Tani, S Sugano 2016 Joint IEEE International Conference on Development and Learning and …, 2016 | 12 | 2016 |
| Tool-use model considering tool selection by a robot using deep learning N Saito, K Kim, S Murata, T Ogata, S Sugano 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids …, 2018 | 11 | 2018 |
| Representation learning of logic words by an RNN: from word sequences to robot actions T Yamada, S Murata, H Arie, T Ogata Frontiers in neurorobotics 11, 70, 2017 | 11 | 2017 |
| Reduced behavioral flexibility by aberrant sensory precision in autism spectrum disorder: a neurorobotics experiment H Idei, S Murata, Y Chen, Y Yamashita, J Tani, T Ogata 2017 Joint IEEE International Conference on Development and Learning and …, 2017 | 11 | 2017 |
| Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism S Murata, H Arie, T Ogata, S Sugano, J Tani Advanced Robotics 28 (17), 1189-1203, 2014 | 10 | 2014 |
| Estimating driver workload with systematically varying traffic complexity using machine learning: Experimental design UE Manawadu, T Kawano, S Murata, M Kamezaki, S Sugano International Conference on Intelligent Human Systems Integration, 106-111, 2018 | 9 | 2018 |
| Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences R Nakajo, S Murata, H Arie, T Ogata 2015 Joint IEEE International Conference on Development and Learning and …, 2015 | 9 | 2015 |
| Learning to achieve different levels of adaptability for human–robot collaboration utilizing a neuro-dynamical system S Murata, Y Li, H Arie, T Ogata, S Sugano IEEE Transactions on Cognitive and Developmental Systems 10 (3), 712-725, 2018 | 8 | 2018 |
| Homogeneous intrinsic neuronal excitability induces overfitting to sensory noise: A robot model of neurodevelopmental disorder H Idei, S Murata, Y Yamashita, T Ogata Frontiers in psychiatry 11, 762, 2020 | 7 | 2020 |
| Generation of sensory reflex behavior versus intentional proactive behavior in robot learning of cooperative interactions with others S Murata, Y Yamashita, H Arie, T Ogata, J Tani, S Sugano 4th International Conference on Development and Learning and on Epigenetic …, 2014 | 7 | 2014 |
| Learning and recognition of multiple fluctuating temporal patterns using S-CTRNN S Murata, H Arie, T Ogata, J Tani, S Sugano International Conference on Artificial Neural Networks, 9-16, 2014 | 7 | 2014 |
| Attractor representations of language-behavior structure in a recurrent neural network for human-robot interaction T Yamada, S Murata, H Arie, T Ogata 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 6 | 2015 |
| Dynamical linking of positive and negative sentences to goal-oriented robot behavior by hierarchical rnn T Yamada, S Murata, H Arie, T Ogata International conference on artificial neural networks, 339-346, 2016 | 5 | 2016 |
| Tool-body assimilation model based on body babbling and a neuro-dynamical system for motion generation K Takahashi, T Ogata, H Tjandra, S Murata, H Arie, S Sugano International Conference on Artificial Neural Networks, 363-370, 2014 | 4 | 2014 |
| Achieving human–robot collaboration with dynamic goal inference by gradient descent S Murata, W Masuda, J Chen, H Arie, T Ogata, S Sugano International Conference on Neural Information Processing, 579-590, 2019 | 3 | 2019 |
Tetsuya OgataProfessor, Waseda University / Joint-appointed Fellow, AISTVerified email at waseda.jp
