Jun Tani

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 75

Top Venues

Publications

Theodore Jerome Tinker, Kenji Doya, Jun Tani
Intrinsic Rewards for Exploration without Harm from Observational Noise: A Simulation Study Based on the Free Energy Principle. CoRR (2024)
Prasanna Vijayaraghavan, Jeffrey Frederic Queißer, Sergio Verduzco Flores, Jun Tani
Development of Compositionality and Generalization through Interactive Learning of Language and Action of Robots. CoRR (2024)
Nadine Wirkuttis, Wataru Ohata, Jun Tani
Turn-Taking Mechanisms in Imitative Interaction: Robotic Social Interaction Based on the Free Energy Principle. Entropy 25 (2) (2023)
Hiroki Sawada, Wataru Ohata, Jun Tani
Human-Robot Kinaesthetic Interaction Based on Free Energy Principle. CoRR (2023)
Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
Habits and goals in synergy: a variational Bayesian framework for behavior. CoRR (2023)
Takazumi Matsumoto, Wataru Ohata, Jun Tani
Incremental Learning of Goal-Directed Actions in a Dynamic Environment by a Robot Using Active Inference. Entropy 25 (11) (2023)
Rui Fukushima, Jun Tani
Comparing Generalization in Learning with Limited Numbers of Exemplars: Transformer vs. RNN in Attractor Dynamics. CoRR (2023)
Takazumi Matsumoto, Wataru Ohata, Fabien C. Y. Benureau, Jun Tani
Goal-directed Planning and Goal Understanding by Active Inference: Evaluation Through Simulated and Physical Robot Experiments. CoRR (2022)
Fabien C. Y. Benureau, Jun Tani
Morphological Wobbling Can Help Robots Learn. ICDL (2022)
Vsevolod Nikulin, Jun Tani
Initialization of latent space coordinates via random linear projections for learning robotic sensory-motor sequences. Frontiers Neurorobotics 16 (2022)
Fabien C. Y. Benureau, Jun Tani
Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution. Artif. Life 28 (1) (2022)
Fabien C. Y. Benureau, Jun Tani
Morphological Wobbling Can Help Robots Learn. CoRR (2022)
Takazumi Matsumoto, Wataru Ohata, Fabien C. Y. Benureau, Jun Tani
Goal-Directed Planning and Goal Understanding by Extended Active Inference: Evaluation through Simulated and Physical Robot Experiments. Entropy 24 (4) (2022)
Jun Tani, Jeffrey White
Cognitive neurorobotics and self in the shared world, a focused review of ongoing research. Adapt. Behav. 30 (1) (2022)
Vsevolod Nikulin, Jun Tani
Initialization of Latent Space Coordinates via Random Linear Projections for Learning Robotic Sensory-Motor Sequences. CoRR (2022)
Nadine Wirkuttis, Jun Tani
Controlling the Sense of Agency in Dyadic Robot Interaction: An Active Inference Approach. CoRR (2021)
Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani
Active Inference in Robotics and Artificial Agents: Survey and Challenges. CoRR (2021)
Dongqi Han, Kenji Doya, Jun Tani
Goal-Directed Planning by Reinforcement Learning and Active Inference. CoRR (2021)
Hayato Idei, Wataru Ohata, Yuichi Yamashita, Tetsuya Ogata, Jun Tani
Sensory attenuation develops as a result of sensorimotor experience. CoRR (2021)
Nadine Wirkuttis, Jun Tani
Leading or Following? Dyadic Robot Imitative Interaction Using the Active Inference Framework. IEEE Robotics Autom. Lett. 6 (3) (2021)
Siqing Hou, Dongqi Han, Jun Tani
Learning Memory-Dependent Continuous Control from Demonstrations. CoRR (2021)
Jeffrey Frederic Queißer, Minju Jung, Takazumi Matsumoto, Jun Tani
Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning. Neural Comput. 33 (9) (2021)
Dongqi Han, Kenji Doya, Jun Tani
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks. Neural Networks 129 (2020)
Vsevolod Nikulin, Jun Tani
Efficient decomposition of latent representation in generative models. SSCI (2020)
Dongqi Han, Kenji Doya, Jun Tani
Variational Recurrent Models for Solving Partially Observable Control Tasks. ICLR (2020)
Wataru Ohata, Jun Tani
Investigation of the Sense of Agency in Social Cognition, Based on Frameworks of Predictive Coding and Active Inference: A Simulation Study on Multimodal Imitative Interaction. Frontiers Neurorobotics 14 (2020)
Fabien C. Y. Benureau, Jun Tani
Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution. CoRR (2020)
Wataru Ohata, Jun Tani
Investigation of Multimodal and Agential Interactions in Human-Robot Imitation, based on frameworks of Predictive Coding and Active Inference. CoRR (2020)
Hendry Ferreira Chame, Ahmadreza Ahmadi, Jun Tani
Towards hybrid primary intersubjectivity: a neural robotics library for human science. CoRR (2020)
Takazumi Matsumoto, Jun Tani
Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network. CoRR (2020)
Takazumi Matsumoto, Jun Tani
Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network. Entropy 22 (5) (2020)
Hendry Ferreira Chame, Jun Tani
Cognitive and motor compliance in intentional human-robot interaction. ICRA (2020)
Jungsik Hwang, Jinhyung Kim, Ahmadreza Ahmadi, Minkyu Choi, Jun Tani
Dealing With Large-Scale Spatio-Temporal Patterns in Imitative Interaction Between a Robot and a Human by Using the Predictive Coding Framework. IEEE Trans. Syst. Man Cybern. Syst. 50 (5) (2020)
Jungsik Hwang, Nadine Wirkuttis, Jun Tani
A Neurorobotics Approach to Investigating the Emergence of Communication in Robots. HRI (2019)
Minju Jung, Takazumi Matsumoto, Jun Tani
Goal-Directed Behavior under Variational Predictive Coding: Dynamic organization of Visual Attention and Working Memory. IROS (2019)
Dongqi Han, Kenji Doya, Jun Tani
Variational Recurrent Models for Solving Partially Observable Control Tasks. CoRR (2019)
Dongqi Han, Kenji Doya, Jun Tani
Emergence of Hierarchy via Reinforcement Learning Using a Multiple Timescale Stochastic RNN. CoRR (2019)
Jun Tani
Accounting Social Cognitive Mechanisms by the Framework of Predictive Coding and Active Inference: A Synthetic Experimental Study using Robotics Interaction Platforms. HAI (2019)
Hendry Ferreira Chame, Jun Tani
Cognitive and motor compliance in intentional human-robot interaction. CoRR (2019)
Ahmadreza Ahmadi, Jun Tani
A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition. Neural Comput. 31 (11) (2019)
Jungsik Hwang, Nadine Wirkuttis, Jun Tani
A Neurorobotics Approach to Investigating the Emergence of Communication in Robots. CoRR (2019)
Jun Tani
Accounting for the Minimal Self and the Narrative Self: Robotics Experiments Using Predictive Coding. AAAI Spring Symposium: Towards Conscious AI Systems (2019)
Minju Jung, Takazumi Matsumoto, Jun Tani
Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory. CoRR (2019)
Junpei Zhong, Martin Peniak, Jun Tani, Tetsuya Ogata, Angelo Cangelosi
Sensorimotor input as a language generalisation tool: a neurorobotics model for generation and generalisation of noun-verb combinations with sensorimotor inputs. Auton. Robots 43 (5) (2019)
Minkyu Choi, Takazumi Matsumoto, Minju Jung, Jun Tani
Generating goal-directed visuomotor plans based on learning using a predictive coding type deep visuomotor recurrent neural network model. CoRR (2018)
Minju Jung, Haanvid Lee, Jun Tani
Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition. Neural Networks 105 (2018)
German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization. CoRR (2018)
Jungsik Hwang, Jun Tani
A Dynamic Neural Network Approach to Generating Robot's Novel Actions: A Simulation Experiment. CoRR (2018)
Haanvid Lee, Minju Jung, Jun Tani
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks. IEEE Trans. Cogn. Dev. Syst. 10 (4) (2018)
Jungsik Hwang, Jun Tani
A Dynamic Neural Network Approach to Generating Robot's Novel Actions: A Simulation Experiment. UR (2018)
Minkyu Choi, Jun Tani
Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model. Neural Comput. 30 (1) (2018)
Jungsik Hwang, Jun Tani
Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach. IEEE Trans. Cogn. Dev. Syst. 10 (2) (2018)
German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter
Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization. Frontiers Neurorobotics 12 (2018)
Ahmadreza Ahmadi, Jun Tani
Learning to Embed Probabilistic Structures Between Deterministic Chaos and Random Process in a Variational Bayes Predictive-Coding RNN. CoRR (2018)
Christopher Tatsch, Ahmadreza Ahmadi, Fabrício Bottega, Jun Tani, Rodrigo da Silva Guerra
Dimitri: an Open-Source Humanoid Robot with Compliant Joint. J. Intell. Robotic Syst. 91 (2) (2018)
Jungsik Hwang, Jun Tani
Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach. CoRR (2017)
German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter
Emergence of multimodal action representations from neural network self-organization. Cogn. Syst. Res. 43 (2017)
Ahmadreza Ahmadi, Jun Tani
How can a recurrent neurodynamic predictive coding model cope with fluctuation in temporal patterns? Robotic experiments on imitative interaction. Neural Networks 92 (2017)
Minkyu Choi, Jun Tani
Predictive coding for dynamic vision: Development of functional hierarchy in a multiple spatio-temporal scales RNN model. IJCNN (2017)
Ahmadreza Ahmadi, Jun Tani
Bridging the Gap between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model. CoRR (2017)
Ahmadreza Ahmadi, Jun Tani
Bridging the Gap Between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model. ICONIP (3) (2017)
Minju Jung, Haanvid Lee, Jun Tani
Adaptive Detrending to Accelerate Convolutional Gated Recurrent Unit Training for Contextual Video Recognition. CoRR (2017)
German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter
Lifelong learning of human actions with deep neural network self-organization. Neural Networks 96 (2017)
Jungsik Hwang, Jinhyung Kim, Ahmadreza Ahmadi, Minkyu Choi, Jun Tani
Predictive coding-based deep dynamic neural network for visuomotor learning. ICDL-EPIROB (2017)
Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano, Jun Tani
Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment. IEEE Trans. Neural Networks Learn. Syst. 28 (4) (2017)
Minkyu Choi, Jun Tani
Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model. CoRR (2017)
Jungsik Hwang, Jinhyung Kim, Ahmadreza Ahmadi, Minkyu Choi, Jun Tani
Predictive Coding-based Deep Dynamic Neural Network for Visuomotor Learning. CoRR (2017)
Hayato Idei, Shingo Murata, Yiwen Chen, Yuichi Yamashita, Jun Tani, Tetsuya Ogata
Reduced behavioral flexibility by aberrant sensory precision in autism spectrum disorder: A neurorobotics experiment. ICDL-EPIROB (2017)
Junpei Zhong, Martin Peniak, Jun Tani, Tetsuya Ogata, Angelo Cangelosi
Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs. CoRR (2016)
Ahmadreza Ahmadi, Christopher Tatsch, Fabricio Julian Carini Montenegro, Jun Tani, Rodrigo da Silva Guerra
Dimitri: A Low-Cost Compliant Humanoid Torso Designed for Cognitive Robotics Research. LARS/SBR (2016)
Haanvid Lee, Minju Jung, Jun Tani
Characteristics of Visual Categorization of Long-Concatenated and Object-Directed Human Actions by a Multiple Spatio-Temporal Scales Recurrent Neural Network Model. CoRR (2016)
Minkyu Choi, Jun Tani
Predictive Coding for Dynamic Vision : Development of Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model. CoRR (2016)
Yiwen Chen, Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano
Emergence of interactive behaviors between two robots by prediction error minimization mechanism. ICDL-EPIROB (2016)
Jungsik Hwang, Minju Jung, Jinhyung Kim, Jun Tani
A deep learning approach for seamless integration of cognitive skills for humanoid robots. ICDL-EPIROB (2016)
Ahmadreza Ahmadi, Jun Tani
Towards Robustness to Fluctuated Perceptual Patterns by a Deterministic Predictive Coding Model in a Task of Imitative Synchronization with Human Movement Patterns. ICONIP (1) (2016)
Gibeom Park, Jun Tani
Development of compositional and contextual communication of robots by using the multiple timescales dynamic neural network. ICDL-EPIROB (2015)
Jungsik Hwang, Minju Jung, Naveen Madapana, Jinhyung Kim, Minkyu Choi, Jun Tani
Achieving Synergy in Cognitive Behavior of Humanoids via Deep Learning of Dynamic Visuo-Motor-Attentional Coordination. CoRR (2015)
Jungsik Hwang, Minju Jung, Naveen Madapana, Jinhyung Kim, Minkyu Choi, Jun Tani
Achieving "synergy" in cognitive behavior of humanoids via deep learning of dynamic visuo-motor-attentional coordination. Humanoids (2015)
Gibeom Park, Jun Tani
Development of compositional and contextual communicable congruence in robots by using dynamic neural network models. Neural Networks 72 (2015)
Jun Tani
Self-Organization and Compositionality in Cognitive Brains: A Neurorobotics Study. Proc. IEEE 102 (3) (2014)
Boon Hwa Tan, Huajin Tang, Rui Yan, Jun Tani
Flexible and robust robotic arm design and skill learning by using recurrent neural networks. IROS (2014)
Sungmoon Jeong, Yunjung Park, Rammohan Mallipeddi, Jun Tani, Minho Lee
Goal-oriented behavior sequence generation based on semantic commands using multiple timescales recurrent neural network with initial state correction. Neurocomputing 129 (2014)
Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano
Generation of sensory reflex behavior versus intentional proactive behavior in robot learning of cooperative interactions with others. ICDL-EPIROB (2014)
Jun Tani, Karl J. Friston, Simon Haykin
Self-Organization and Compositionality in Cognitive Brains [Further Thoughts]. Proc. IEEE 102 (3) (2014)
Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano, Jun Tani
Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism. Adv. Robotics 28 (17) (2014)
Minju Jung, Jungsik Hwang, Jun Tani
Multiple spatio-temporal scales neural network for contextual visual recognition of human actions. ICDL-EPIROB (2014)
Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano
Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN. ICANN (2014)
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)
Fady Alnajjar, Yuichi Yamashita, Jun Tani
The hierarchical and functional connectivity of higher-order cognitive mechanisms: neurorobotic model to investigate the stability and flexibility of working memory. Frontiers Neurorobotics 7 (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)
Shun Nishide, Jun Tani, Hiroshi G. Okuno, Tetsuya Ogata
Self-organization of object features representing motion using Multiple Timescales Recurrent Neural Network. IJCNN (2012)
Hiroaki Arie, Takafumi Arakaki, Shigeki Sugano, Jun Tani
Imitating others by composition of primitive actions: A neuro-dynamic model. Robotics Auton. Syst. 60 (5) (2012)
Shun Nishide, Jun Tani, Toru Takahashi, Hiroshi G. Okuno, Tetsuya Ogata
Tool-Body Assimilation of Humanoid Robot Using a Neurodynamical System. IEEE Trans. Auton. Ment. Dev. 4 (2) (2012)
Michail Maniadakis, Panos E. Trahanias, Jun Tani
Self-organizing high-order cognitive functions in artificial agents: Implications for possible prefrontal cortex mechanisms. Neural Networks 33 (2012)
Fady Alnajjar, Yuichi Yamashita, Jun Tani
Static and dynamic memory to simulate higher-order cognitive tasks. IJCNN (2012)
Michail Maniadakis, Jun Tani, Panos E. Trahanias
Ego-centric and allo-centric abstraction in self-organized hierarchical neural networks. ICDL-EPIROB (2011)
Shun Nishide, Jun Tani, Hiroshi G. Okuno, Tetsuya Ogata
Towards Written Text Recognition Based on Handwriting Experiences Using a Recurrent Neural Network. Adv. Robotics 25 (17) (2011)
Sungmoon Jeong, Yunjung Park, Hiroaki Arie, Jun Tani, Minho Lee
Goal-Oriented Behavior Generation for Visually-Guided Manipulation Task. ICONIP (1) (2011)

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Publication Activity (10 Years)

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Jun Tani