Jun Tani

According to our database1, Jun Tani authored at least 135 papers between 1994 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Investigation of Multimodal and Agential Interactions in Human-Robot Imitation, based on frameworks of Predictive Coding and Active Inference.
CoRR, 2020

2019
Variational Recurrent Models for Solving Partially Observable Control Tasks.
CoRR, 2019

Cognitive and motor compliance in intentional human-robot interaction.
CoRR, 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

A Neurorobotics Approach to Investigating the Emergence of Communication in Robots.
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. Cognitive and Developmental Systems, 2018

Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach.
IEEE Trans. Cognitive and Developmental Systems, 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 Computation, 2018

Dimitri: an Open-Source Humanoid Robot with Compliant Joint.
Journal of Intelligent and Robotic Systems, 2018

Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization.
Front. Neurorobot., 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 Netw. Learning Syst., 2017

Lifelong learning of human actions with deep neural network self-organization.
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.
Cognitive Systems Research, 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

Predictive coding-based deep dynamic neural network for visuomotor learning.
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

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
Self-Organization and Compositionality in Cognitive Brains [Further Thoughts].
Proceedings of the IEEE, 2014

Self-Organization and Compositionality in Cognitive Brains: A Neurorobotics Study.
Proceedings of the 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.
Advanced 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

Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN.
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. Autonomous Mental Development, 2013

The hierarchical and functional connectivity of higher-order cognitive mechanisms: neurorobotic model to investigate the stability and flexibility of working memory.
Front. Neurorobot., 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
Tool-Body Assimilation of Humanoid Robot Using a Neurodynamical System.
IEEE Trans. Autonomous Mental Development, 2012

Imitating others by composition of primitive actions: A neuro-dynamic model.
Robotics and Autonomous Systems, 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

Static and dynamic memory to simulate higher-order cognitive tasks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Grounding Language in Action.
IEEE Trans. Autonomous Mental Development, 2011

A Neurodynamic Account of Spontaneous Behaviour.
PLoS Computational Biology, 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.
Front. Comput. Neurosci., 2011

Towards Written Text Recognition Based on Handwriting Experiences Using a Recurrent Neural Network.
Advanced Robotics, 2011

Simultaneously emerging Braitenberg codes and compositionality.
Adaptive Behaviour, 2011

Handwriting prediction based character recognition using recurrent neural network.
Proceedings of the IEEE International Conference on Systems, 2011

Goal-Oriented Behavior Generation for Visually-Guided Manipulation Task.
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
Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics.
IEEE Trans. Autonomous Mental Development, 2010

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

Self-organized executive control functions.
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

Integrative Learning between Language and Action: A Neuro-Robotics Experiment.
Proceedings of the Artificial Neural Networks, 2010

2009
Explorations on artificial time perception.
Neural Networks, 2009

Autonomous Motion Generation Based on Reliable Predictability.
JRM, 2009

Incremental learning of sequence patterns with a modular network model.
Neurocomputing, 2009

Self-organization of Dynamic Object Features Based on Bidirectional Training.
Advanced Robotics, 2009

Autonomy of Self at Criticality: The Perspective from Synthetic Neuro-Robotics.
Adaptive Behaviour, 2009

Acquiring Rules for Rules: Neuro-Dynamical Systems Account for Meta-Cognition.
Adaptive Behaviour, 2009

Building Recurrent Neural Networks to Implement Multiple Attractor Dynamics Using the Gradient Descent Method.
Adv. Artificial Neural Systems, 2009

Modeling tool-body assimilation using second-order Recurrent Neural Network.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Reinforcement learning of multiple tasks using parametric bias.
Proceedings of the International Joint Conference on Neural Networks, 2009

Time perception in shaping cognitive neurodynamics of artificial agents.
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. Systems, Man, and Cybernetics, Part B, 2008

Emergence of Functional Hierarchy in a Multiple Timescale Neural Network Model: A Humanoid Robot Experiment.
PLoS Computational Biology, 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

Predicting Object Dynamics From Visual Images Through Active Sensing Experiences.
Advanced Robotics, 2008

Editorial: Behavior and Mind as a Complex Adaptive System.
Adaptive Behaviour, 2008

Learning Multiple Goal-Directed Actions Through Self-Organization of a Dynamic Neural Network Model: A Humanoid Robot Experiment.
Adaptive Behaviour, 2008

Acquiring a Functionally Compositional System of Goal-Directed Actions of a Simulated Agent.
Proceedings of the From Animals to Animats 10, 2008

Dynamical Systems Account for Meta-level Cognition.
Proceedings of the From Animals to Animats 10, 2008

Active sensing based dynamical object feature extraction.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Object dynamics prediction and motion generation based on reliable predictability.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Towards language acquisition in autonomous robots.
Proceedings of the Artificial Life XI: Proceedingshe of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007
Experience-based imitation using RNNPB.
Advanced Robotics, 2007

Reinforcement learning of a continuous motor sequence with hidden states.
Advanced Robotics, 2007

Discovery of other individuals by projecting a self-model through imitation.
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

Human-Robot Cooperation using Quasi-symbols Generated by RNNPB Model.
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

Reinforcement Learning Algorithm with CTRNN in Continuous Action Space.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Extracting Multimodal Dynamics of Objects Using RNNPB.
JRM, 2005

Open-end human-robot interaction from the dynamical systems perspective: mutual adaptation and incremental learning.
Advanced Robotics, 2005

Learning Semantic Combinatoriality from the Interaction between Linguistic and Behavioral Processes.
Adaptive Behaviour, 2005

How Hierarchical Control Self-organizes in Artificial Adaptive Systems.
Adaptive Behaviour, 2005

Extracting multi-modal dynamics of objects using RNNPB.
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.
Adaptive Behaviour, 2004

Human-robot collaboration using behavioral primitives.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

On-line Imitative Interaction with a Humanoid Robot Using a Mirror Neuron Model.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Generalization in Learning Multiple Temporal Patterns Using RNNPB.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Evolved Motor Primitives and Sequences in a Hierarchical Recurrent Neural Network.
Proceedings of the Genetic and Evolutionary Computation, 2004

2003
Self-organization of behavioral primitives as multiple attractor dynamics: A robot experiment.
IEEE Trans. Systems, Man, and Cybernetics, 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

Interactive learning in human-robot collaboration.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

Symbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2003

2002
On the dynamics of robot exploration learning.
Cognitive Systems Research, 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

On the Dynamics of Robot Exploration Learning.
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

Visual Attention and Learning of a Cognitive Robot.
Proceedings of the Artificial Neural Networks, 1997

1996
Model-based learning for mobile robot navigation from the dynamical systems perspective.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1996

Evolutionary Agent Planning.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

1995
Embedding a grammatical description in deterministic chaos: an experiment in recurrent neural learning.
Biological Cybernetics, 1995

A Dynamical Systems Approach for a Learnable Autonomous Robot.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Self-Organization of Symbolic Processes through Interaction with the Physical World.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Essential Dynamical Structure in Learnable Autonomous Robots.
Proceedings of the Advances in Artificial Life, 1995

1994
Learning goal-directed sensory-based navigation of a mobile robot.
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


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