Jun Tani
Orcid: 0000-0002-9131-9206
According to our database1,
Jun Tani
authored at least 163 papers
between 1994 and 2024.
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Bibliography
2024
Development of Compositionality and Generalization through Interactive Learning of Language and Action of Robots.
CoRR, 2024
2023
Incremental Learning of Goal-Directed Actions in a Dynamic Environment by a Robot Using Active Inference.
Entropy, November, 2023
Turn-Taking Mechanisms in Imitative Interaction: Robotic Social Interaction Based on the Free Energy Principle.
Entropy, February, 2023
Comparing Generalization in Learning with Limited Numbers of Exemplars: Transformer vs. RNN in Attractor Dynamics.
CoRR, 2023
CoRR, 2023
2022
Initialization of latent space coordinates via random linear projections for learning robotic sensory-motor sequences.
Frontiers Neurorobotics, September, 2022
Goal-Directed Planning and Goal Understanding by Extended Active Inference: Evaluation through Simulated and Physical Robot Experiments.
Entropy, 2022
Goal-directed Planning and Goal Understanding by Active Inference: Evaluation Through Simulated and Physical Robot Experiments.
CoRR, 2022
Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution.
Artif. Life, 2022
Cognitive neurorobotics and self in the shared world, a focused review of ongoing research.
Adapt. Behav., 2022
Proceedings of the IEEE International Conference on Development and Learning, 2022
2021
Leading or Following? Dyadic Robot Imitative Interaction Using the Active Inference Framework.
IEEE Robotics Autom. Lett., 2021
Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning.
Neural Comput., 2021
CoRR, 2021
Controlling the Sense of Agency in Dyadic Robot Interaction: An Active Inference Approach.
CoRR, 2021
2020
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., 2020
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks.
Neural Networks, 2020
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, 2020
Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network.
Entropy, 2020
Towards hybrid primary intersubjectivity: a neural robotics library for human science.
CoRR, 2020
Investigation of Multimodal and Agential Interactions in Human-Robot Imitation, based on frameworks of Predictive Coding and Active Inference.
CoRR, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition.
Neural Comput., 2019
Emergence of Hierarchy via Reinforcement Learning Using a Multiple Timescale Stochastic RNN.
CoRR, 2019
Sensorimotor input as a language generalisation tool: a neurorobotics model for generation and generalisation of noun-verb combinations with sensorimotor inputs.
Auton. Robots, 2019
Goal-Directed Behavior under Variational Predictive Coding: Dynamic organization of Visual Attention and Working Memory.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019
Accounting Social Cognitive Mechanisms by the Framework of Predictive Coding and Active Inference: A Synthetic Experimental Study using Robotics Interaction Platforms.
Proceedings of the 7th International Conference on Human-Agent Interaction, 2019
Accounting for the Minimal Self and the Narrative Self: Robotics Experiments Using Predictive Coding.
Proceedings of the Papers of the 2019 Towards Conscious AI Systems Symposium co-located with the Association for the Advancement of Artificial Intelligence 2019 Spring Symposium Series (AAAI SSS-19), 2019
2018
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks.
IEEE Trans. Cogn. Dev. Syst., 2018
Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach.
IEEE Trans. Cogn. Dev. Syst., 2018
Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition.
Neural Networks, 2018
Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model.
Neural Comput., 2018
J. Intell. Robotic Syst., 2018
Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization.
Frontiers Neurorobotics, 2018
Learning to Embed Probabilistic Structures Between Deterministic Chaos and Random Process in a Variational Bayes Predictive-Coding RNN.
CoRR, 2018
Generating goal-directed visuomotor plans based on learning using a predictive coding type deep visuomotor recurrent neural network model.
CoRR, 2018
A Dynamic Neural Network Approach to Generating Robot's Novel Actions: A Simulation Experiment.
Proceedings of the 15th International Conference on Ubiquitous Robots, 2018
2017
Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment.
IEEE Trans. Neural Networks Learn. Syst., 2017
Neural Networks, 2017
How can a recurrent neurodynamic predictive coding model cope with fluctuation in temporal patterns? Robotic experiments on imitative interaction.
Neural Networks, 2017
Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model.
CoRR, 2017
Emergence of multimodal action representations from neural network self-organization.
Cogn. Syst. Res., 2017
Predictive coding for dynamic vision: Development of functional hierarchy in a multiple spatio-temporal scales RNN model.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Bridging the Gap Between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Reduced behavioral flexibility by aberrant sensory precision in autism spectrum disorder: A neurorobotics experiment.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017
2016
Characteristics of Visual Categorization of Long-Concatenated and Object-Directed Human Actions by a Multiple Spatio-Temporal Scales Recurrent Neural Network Model.
CoRR, 2016
Dimitri: A Low-Cost Compliant Humanoid Torso Designed for Cognitive Robotics Research.
Proceedings of the XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium, 2016
Towards Robustness to Fluctuated Perceptual Patterns by a Deterministic Predictive Coding Model in a Task of Imitative Synchronization with Human Movement Patterns.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
A deep learning approach for seamless integration of cognitive skills for humanoid robots.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016
Emergence of interactive behaviors between two robots by prediction error minimization mechanism.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016
2015
Development of compositional and contextual communicable congruence in robots by using dynamic neural network models.
Neural Networks, 2015
Development of compositional and contextual communication of robots by using the multiple timescales dynamic neural network.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015
Achieving "synergy" in cognitive behavior of humanoids via deep learning of dynamic visuo-motor-attentional coordination.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015
2014
Proc. IEEE, 2014
Proc. IEEE, 2014
Goal-oriented behavior sequence generation based on semantic commands using multiple timescales recurrent neural network with initial state correction.
Neurocomputing, 2014
Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism.
Adv. Robotics, 2014
Flexible and robust robotic arm design and skill learning by using recurrent neural networks.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Generation of sensory reflex behavior versus intentional proactive behavior in robot learning of cooperative interactions with others.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014
Multiple spatio-temporal scales neural network for contextual visual recognition of human actions.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
2013
Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring.
IEEE Trans. Auton. Ment. Dev., 2013
The hierarchical and functional connectivity of higher-order cognitive mechanisms: neurorobotic model to investigate the stability and flexibility of working memory.
Frontiers Neurorobotics, 2013
Development of Proactive and Reactive Behavior via Meta-learning of Prediction Error Variance.
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.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013
Self-Organized Functional Hierarchy Through Multiple Timescales: Neuro-dynamical Accounts for Behavioral Compositionality.
Proceedings of the Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013
2012
IEEE Trans. Auton. Ment. Dev., 2012
Robotics Auton. Syst., 2012
Self-organizing high-order cognitive functions in artificial agents: Implications for possible prefrontal cortex mechanisms.
Neural Networks, 2012
Self-organization of object features representing motion using Multiple Timescales Recurrent Neural Network.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Estimation of functional brain connectivity from electrocorticograms using an artificial network model.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Emergence of hierarchical structure mirroring linguistic composition in a recurrent neural network.
Neural Networks, 2011
Cooperation of Deterministic Dynamics and Random Noise in Production of Complex Syntactical Avian Song Sequences: A Neural Network Model.
Frontiers Comput. Neurosci., 2011
Towards Written Text Recognition Based on Handwriting Experiences Using a Recurrent Neural Network.
Adv. Robotics, 2011
Proceedings of the IEEE International Conference on Systems, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Use of a Sparse Structure to Improve Learning Performance of Recurrent Neural Networks.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Ego-centric and allo-centric abstraction in self-organized hierarchical neural networks.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011
2010
IEEE Trans. Auton. Ment. Dev., 2010
Neural Networks, 2010
Motion generation based on reliable predictability using self-organized object features.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Recognition and Generation of Sentences through Self-organizing Linguistic Hierarchy Using MTRNN.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Developmental learning of integrating visual attention shifts and bimanual object grasping and manipulation tasks.
Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010
Proceedings of the Artificial Neural Networks, 2010
2009
J. Robotics Mechatronics, 2009
Neurocomputing, 2009
Adv. Robotics, 2009
Adapt. Behav., 2009
Adapt. Behav., 2009
Building Recurrent Neural Networks to Implement Multiple Attractor Dynamics Using the Gradient Descent Method.
Adv. Artif. Neural Syst., 2009
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Prediction and imitation of other's motions by reusing own forward-inverse model in robots.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009
2008
Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model.
IEEE Trans. Syst. Man Cybern. Part B, 2008
Emergence of Functional Hierarchy in a Multiple Timescale Neural Network Model: A Humanoid Robot Experiment.
PLoS Comput. Biol., 2008
Developmental learning of complex syntactical song in the Bengalese finch: A neural network model.
Neural Networks, 2008
Achieving "organic compositionality" through self-organization: Reviews on brain-inspired robotics experiments.
Neural Networks, 2008
A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance.
Neural Networks, 2008
Adv. Robotics, 2008
Learning Multiple Goal-Directed Actions Through Self-Organization of a Dynamic Neural Network Model: A Humanoid Robot Experiment.
Adapt. Behav., 2008
Acquiring a Functionally Compositional System of Goal-Directed Actions of a Simulated Agent.
Proceedings of the From Animals to Animats 10, 2008
Proceedings of the From Animals to Animats 10, 2008
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008
2007
Adv. Robotics, 2007
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007
Two-way translation of compound sentences and arm motions by recurrent neural networks.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007
2006
Dynamic and interactive generation of object handling behaviors by a small humanoid robot using a dynamic neural network model.
Neural Networks, 2006
Dynamic Generation and Switching of Object Handling Behaviors by a Humanoid Robot Using a Recurrent Neural Network Model.
Proceedings of the From Animals to Animats 9, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2005
J. Robotics Mechatronics, 2005
Open-end human-robot interaction from the dynamical systems perspective: mutual adaptation and incremental learning.
Adv. Robotics, 2005
Learning Semantic Combinatoriality from the Interaction between Linguistic and Behavioral Processes.
Adapt. Behav., 2005
Adapt. Behav., 2005
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
2004
Self-organization of distributedly represented multiple behavior schemata in a mirror system: reviews of robot experiments using RNNPB.
Neural Networks, 2004
Motor primitive and sequence self-organization in a hierarchical recurrent neural network.
Neural Networks, 2004
Learning to generate combinatorial action sequences utilizing the initial sensitivity of deterministic dynamical systems.
Neural Networks, 2004
On-line Imitative Interaction with a Humanoid Robot Using a Dynamic Neural Network Model of a Mirror System.
Adapt. Behav., 2004
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the Genetic and Evolutionary Computation, 2004
2003
Self-organization of behavioral primitives as multiple attractor dynamics: A robot experiment.
IEEE Trans. Syst. Man Cybern. Part A, 2003
Learning to generate articulated behavior through the bottom-up and the top-down interaction processes.
Neural Networks, 2003
A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2003
2002
1999
Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems.
Neural Networks, 1999
Extracting Regularities in Space and Time Through a Cascade of Prediction Networks: The Case of a Mobile Robot Navigating in a Structured Environment.
Connect. Sci., 1999
Proceedings of the Advances in Artificial Life, 5th European Conference, 1999
1998
Emergence of Expert Modules for Mobile Robot Navigation from a Mixture of Elman Networks.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
1997
Self-organizing Internal Representation in Learning of Navigation: A Physical Experiment by the Mobile Robot YAMABICO.
Neural Networks, 1997
Proceedings of the Artificial Neural Networks, 1997
1996
Model-based learning for mobile robot navigation from the dynamical systems perspective.
IEEE Trans. Syst. Man Cybern. Part B, 1996
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996
1995
Embedding a grammatical description in deterministic chaos: an experiment in recurrent neural learning.
Biol. Cybern., 1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995
Proceedings of the Advances in Artificial Life, 1995
Embedding Symbolic Process into Deterministic Chaos.
Proceedings of the 1995 International Workshop on Biologically Inspired Evolutionary Systems, 1995
1994
Neural Networks, 1994
Embedding task-based behavior into internal sensory-based attractor dynamics in navigation of a mobile robot.
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 1994