Jun Tani

Shigeki Sugano, Tetsuya Ogata, Jun Tani, 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

CREATING NOVEL GOAL-DIRECTED ACTIONS AT CRITICALITY: A NEURO-ROBOTIC EXPERIMENT

Shigeki Sugano, Jun Tani, Tetsuro Endo, 2009 .

Development of compositional and contextual communicable congruence in robots by using dynamic neural network models

Jun Tani, Gibeom Park, J. Tani, 2015, Neural Networks.

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

Tetsuya Ogata, Jun Tani, Shingo Murata, 2017, 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Evolving Planning Behaviors in an Artificial Ecosystem

Jun Tani, Joachim Baczewski, 1997 .

Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles

Stefano Nolfi, Alessandra Sciutti, Angelo Cangelosi, 2016 .

Dimitri: an Open-Source Humanoid Robot with Compliant Joint

Jun Tani, Rodrigo da Silva Guerra, Christopher Tatsch, 2018, J. Intell. Robotic Syst..

How can a recurrent neurodynamic predictive coding model cope with fluctuation in temporal patterns? Robotic experiments on imitative interaction

Jun Tani, Ahmadreza Ahmadi, J. Tani, 2017, Neural Networks.

Adaptive Motor Primitive and Sequence Formation in a Hierarchical Recurrent Neural Network

Jun Tani, Rainer W. Paine, J. Tani, 2004 .

Editorial: Behavior and Mind as a Complex Adaptive System

Stefano Nolfi, Jun Tani, Takashi Ikegami, 2008, Adapt. Behav..

Achieving "organic compositionality" through self-organization: Reviews on brain-inspired robotics experiments

Jun Tani, Rainer W. Paine, Ryunosuke Nishimoto, 2008, Neural Networks.

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

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Lifelong learning of human actions with deep neural network self-organization

Stefan Wermter, Cornelius Weber, Jun Tani, 2017, Neural Networks.

1P1-B03 Adaptive Behavior Generation using Attractor Dynamics of Recurrent Neural Network(Neurorobotics & Cognitive Robotics)

Yuki Suga, Tetsuya Ogata, Hiroaki Arie, 2013 .

Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization

Stefan Wermter, Cornelius Weber, Jun Tani, 2018, Front. Neurorobot..

Flexible and robust robotic arm design and skill learning by using recurrent neural networks

Rui Yan, Huajin Tang, Jun Tani, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Self-organization of distributedly represented multiple behavior schemata in a mirror system: reviews of robot experiments using RNNPB

Jun Tani, Masato Ito, Yuuya Sugita, 2004, Neural Networks.

Towards Written Text Recognition Based on Handwriting Experiences Using a Recurrent Neural Network

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2011, Adv. Robotics.

Analysis of Reliable Predictability based Motion Generation using RNNPB

Jun Tani, Tetsuya Ogata, Shun Nishide, 2008 .

Formulating a Cognitive Branching Task by MTRNN: A Robotic Neuroscience Experiments to Simulate the PFC and Its Neighboring Regions

Jun Tani, Yuichi Yamashita, Fady Alnajjar, 2013 .

A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance

Jun Tani, Jun Namikawa, J. Tani, 2007, Neural Networks.

Sensorimotor input as a language generalisation tool: a neurorobotics model for generation and generalisation of noun-verb combinations with sensorimotor inputs

Angelo Cangelosi, Tetsuya Ogata, Jun Tani, 2016, Autonomous Robots.

A Dynamical Systems Approach for Robot Learning Problem

Jun Tani, 1996 .

Extracting multi-modal dynamics of objects using RNNPB

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

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

Jun Tani, Wataru Ohata, J. Tani, 2020, ArXiv.

Self-organizing Internal Representation in Learning of Navigation: A Physical Experiment by the Mobile Robot YAMABICO

Naohiro Fukumura, Jun Tani, J. Tani, 1997, Neural Networks.

Generation of sensory reflex behavior versus intentional proactive behavior in robot learning of cooperative interactions with others

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

Learning to generate articulated behavior through the bottom-up and the top-down interaction processes

Jun Tani, J. Tani, 2003, Neural Networks.

Predicting Object Dynamics From Visual Images Through Active Sensing Experiences

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2008, Adv. Robotics.

Model-based learning for mobile robot navigation from the dynamical systems perspective

Jun Tani, J. Tani, 1996, IEEE Trans. Syst. Man Cybern. Part B.

On the Dynamics of Robot Exploration Learning

Jun Tani, Yuuya Sugita, 1999, ECAL.

Open-end human robot interaction from the dynamical systems perspective: mutual adaptation and incremental learning

Tetsuya Ogata, Shigeki Sugano, Jun Tani, 2004 .

Self-organized executive control functions

Panos E. Trahanias, Jun Tani, Michail Maniadakis, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Acquiring a Functionally Compositional System of Goal-Directed Actions of a Simulated Agent

Jun Tani, Yuuya Sugita, 2008, SAB.

Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems

Stefano Nolfi, Jun Tani, J. Tani, 1998, Neural Networks.

Emergence of hierarchical structure mirroring linguistic composition in a recurrent neural network

Tetsuya Ogata, Hiroshi G. Okuno, Hiroaki Arie, 2011, Neural Networks.

Developmental learning of integrating visual attention shifts and bimanual object grasping and manipulation tasks

Minho Lee, Hiroaki Arie, Jun Tani, 2010, 2010 IEEE 9th International Conference on Development and Learning.

Development of compositional and contextual communication of robots by using the multiple timescales dynamic neural network

Jun Tani, Gibeom Park, 2015, 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

The hierarchical and functional connectivity of higher-order cognitive mechanisms: neurorobotic model to investigate the stability and flexibility of working memory

Jun Tani, Yuichi Yamashita, Fady Alnajjar, 2013, Front. Neurorobot..

Towards language acquisition in autonomous robots.: Artificial Life XI: Proceedingshe of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, Winchester, United Kingdom, August 5-8, 2008

Giorgio Metta, Richard A. Watson, Seth Bullock, 2008 .

Accounting for the Minimal Self and the Narrative Self: Robotics Experiments Using Predictive Coding

Jun Tani, J. Tani, 2020, AAAI Spring Symposium: Towards Conscious AI Systems.

Emergence of Functional Hierarchy in a Multiple Timescale Neural Network Model: A Humanoid Robot Experiment

Jun Tani, Yuichi Yamashita, J. Tani, 2008, PLoS Comput. Biol..

Functional mapping of state-dependent activity in a learned artificial grammar

Jun Tani, Ryota Horie, Keiji Tanaka, 2005 .

How Hierarchical Control Self-organizes in Artificial Adaptive Systems

Jun Tani, Rainer W. Paine, J. Tani, 2005, Adapt. Behav..

A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition

Jun Tani, Ahmadreza Ahmadi, J. Tani, 2018, Neural Computation.

Generating goal-directed visuomotor plans based on learning using a predictive coding type deep visuomotor recurrent neural network model pdf

Jun Tani, Minkyu Choi, Minju Jung, 2018, ArXiv.

Self-organization of Dynamic Object Features Based on Bidirectional Training

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2009, Adv. Robotics.

Predictive coding-based deep dynamic neural network for visuomotor learning

Jinhyung Kim, Jun Tani, Jungsik Hwang, 2017, 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Ego-centric and allo-centric abstraction in self-organized hierarchical neural networks

Panos Trahanias, Jun Tani, Michail Maniadakis, 2011, 2011 IEEE International Conference on Development and Learning (ICDL).

Characteristics of Visual Categorization of Long-Concatenated and Object-Directed Human Actions by a Multiple Spatio-Temporal Scales Recurrent Neural Network Model pdf

Jun Tani, Minju Jung, Haanvid Lee, 2016, ArXiv.

Learning to reproduce fluctuating behavioral sequences using a dynamic neural network model with time-varying variance estimation mechanism

Shigeki Sugano, Hiroaki Arie, Jun Tani, 2013, 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL).

Learning Semantic Combinatoriality from the Interaction between Linguistic and Behavioral Processes

Jun Tani, Yuuya Sugita, J. Tani, 2005, Adapt. Behav..

Towards hybrid primary intersubjectivity: a neural robotics library for human science pdf

Jun Tani, Ahmadreza Ahmadi, Hendry F. Chame, 2020, ArXiv.

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

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

Emergence of Expert Modules for Mobile Robot Navigation from a Mixture of Elman Networks

Jun Tani, Hideki Asoh, Toshihiro Matsui, 1998, International Conference on Neural Information Processing.

Self-organization of behavioral primitives as multiple attractor dynamics: A robot experiment

Jun Tani, Masato Ito, 2003, IEEE Trans. Syst. Man Cybern. Part A.

An artificial network model for estimating the network structure underlying partially observed neuronal signals

Jun Tani, Misako Komatsu, Zenas C. Chao, 2014, Neuroscience Research.

An Interpretation of the "Self" From the Dynamical Systems Perspective: A Constructivist Approach

Jun Tani, J. Tani, 1998 .

Jun Tani, Minju Jung, Haanvid Lee, 2017, Neural Networks.

Prediction and imitation of other's motions by reusing own forward-inverse model in robots

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2009, 2009 IEEE International Conference on Robotics and Automation.

Self-Organized Functional Hierarchy Through Multiple Timescales: Neuro-dynamical Accounts for Behavioral Compositionality

Jun Tani, Yuichi Yamashita, J. Tani, 2013, Computational and Robotic Models of the Hierarchical Organization of Behavior.

Cognitive and motor compliance in intentional human-robot interaction

Hendry Ferreira Chame, Jun Tani, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

On-line imitative interaction with a humanoid robot using a mirror neuron model

Jun Tani, Masato Ito, J. Tani, 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

Emergence of Hierarchy via Reinforcement Learning Using a Multiple Timescale Stochastic RNN pdf

Dongqi Han, Kenji Doya, Jun Tani, 2019, ArXiv.

Emergence of multimodal action representations from neural network self-organization

Stefan Wermter, Cornelius Weber, Jun Tani, 2017, Cognitive Systems Research.

Neural substrate of abstract sequential motor learning: fMRI study

Jun Tani, Ryota Horie, Keiji Tanaka, 2003 .

Autonomy of Self at Criticality: The Perspective from Synthetic Neuro-Robotics

Jun Tani, J. Tani, 2009, Adapt. Behav..

Neural substrate of learning an abstract and dynamic motor sequence: a high-field fMRI study

Jun Tani, Ryota Horie, Keiji Tanaka, 2004 .

fMRI study of sequence learning

Jun Tani, Ryota Horie, Chiaki Hirata, 2003 .

Human-robot collaboration using behavioral primitives

Shigeki Sugano, Tetsuya Ogata, Jun Tani, 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

Building Recurrent Neural Networks to Implement Multiple Attractor Dynamics Using the Gradient Descent Method

Jun Tani, Jun Namikawa, J. Tani, 2009, Adv. Artif. Neural Syst..

Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2014, ICANN.

Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution pdf

Jun Tani, Fabien C. Y. Benureau, 2020, ArXiv.

Learning to generate articulated behavior by the "forwarding forward model" network

Jun Tani, 2002 .

Studies on a Novel Neuro-dynamic Model for Prediction Learning of Fluctuated Data Streams: Beyond Dichotomy between Probabilistic and Deterministic Models

Jun Tani, 2014 .

Evolutionary agent planning

Jun Tani, Joachim Baczewski, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Extracting Regularities in Space and Time Through a Cascade of Prediction Networks: The Case of a Mobile Robot Navigating in a Structured Environment

Stefano Nolfi, Jun Tani, J. Tani, 1999, Connect. Sci..

Goal-Directed Behavior under Variational Predictive Coding: Dynamic organization of Visual Attention and Working Memory

Jun Tani, Minju Jung, Takazumi Matsumoto, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Achieving "synergy" in cognitive behavior of humanoids via deep learning of dynamic visuo-motor-attentional coordination

Jinhyung Kim, Jun Tani, Jungsik Hwang, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Variational Recurrent Models for Solving Partially Observable Control Tasks pdf

Dongqi Han, Kenji Doya, Jun Tani, 2019, ICLR.

Predictive coding for dynamic vision: Development of functional hierarchy in a multiple spatio-temporal scales RNN model

Jun Tani, Minkyu Choi, J. Tani, 2016, 2017 International Joint Conference on Neural Networks (IJCNN).

Experience-based imitation using RNNPB

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2007, Adv. Robotics.

Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks

Jun Tani, Minju Jung, Haanvid Lee, 2016, IEEE Transactions on Cognitive and Developmental Systems.

Extracting multi-modal dynamics of objects using RNNPB

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2005, IROS.

Functional MRI study of brain activity during state transitions in a learned artificial grammar

Jun Tani, Ryota Horie, Keiji Tanaka, 2004 .

Mirroring Action Generation and Recognition with Articulating Sensory–Motor Flow

Jun Tani, 2016 .

Development of Functional Hierarchy for Action

Jun Tani, 2016 .

Joint attention between a humanoid robot and users in imitation game

Jun Tani, Masato Ito, J. Tani, 2004 .

Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network

Jun Tani, Takazumi Matsumoto, J. Tani, 2020, Entropy.

Dealing With Large-Scale Spatio-Temporal Patterns in Imitative Interaction Between a Robot and a Human by Using the Predictive Coding Framework

Jun Tani, Jinhyung Kim, Jungsik Hwang, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Dynamical Adaptation of a Neural-Net Based Agent

Jun Tani, Masato Ito, 1998 .

Reinforcement learning of a continuous motor sequence with hidden states

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2007, Adv. Robotics.

Proposal of chaotic steepest descent method for neural networks and analysis of their dynamics

Jun Tani, 1992 .

시맨틱 커맨드 이해에 따른 로봇동작 시퀀스 자율생성 연구

이민호, Jun Tani, Rammohan Mallipeddi, 2012 .

Bridging the Gap Between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model

Jun Tani, Ahmadreza Ahmadi, 2017, ICONIP.

2P2-M03 A language learning model based on the own behavioral experiences : Acquiring generalization capabilities for learning sentences of different grammatical types(Neurorobotics & Cognitive Robotics)

Shigeki Sugano, Jun Tani, Shingo Murata, 2011 .

Embedding Symbolic Process into Deterministic Chaos

Jun Tani, 1995 .

Reinforcement learning of multiple tasks using parametric bias

Jun Tani, Yuuya Sugita, Leszek Rybicki, 2009, 2009 International Joint Conference on Neural Networks.

A Dynamic Neural Network Approach to Generating Robot's Novel Actions: A Simulation Experiment

Jun Tani, Jungsik Hwang, 2018, 2018 15th International Conference on Ubiquitous Robots (UR).

Self-organization of object features representing motion using Multiple Timescales Recurrent Neural Network

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Multiple spatio-temporal scales neural network for contextual visual recognition of human actions

Jun Tani, Jungsik Hwang, Minju Jung, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

Integrative Learning between Language and Action: A Neuro-Robotics Experiment

Minho Lee, Shigeki Sugano, Hiroaki Arie, 2010, ICANN.

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Jun Tani, Gibeom Park, 2015 .

Learning to Generate Combinatorial Action Sequences Utilizing the Initial Sensitivity of Deterministic Dynamical Systems

Jun Tani, Ryunosuke Nishimoto, R. Nishimoto, 2003, IWANN.

Dynamical Systems Approach in Learnable Autonomous Robots

Jun Tani, 1996 .

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

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning Goal-directed Behaviour as Dynamical System for Sensory Motor System

Naohiro Fukumura, Jun Tani, 1995 .

Evolved Motor Primitives and Sequences in a Hierarchical Recurrent Neural Network

Jun Tani, Rainer W. Paine, J. Tani, 2004, GECCO.

Predicting Object Dynamics from Visual Images through Active Sensing Experiences

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

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

Jun Tani, Jun Namikawa, J. Tani, 2008, Neural Networks.

A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments

Jun Tani, Yuuya Sugita, J. Tani, 2003, NIPS.

Developmental learning of complex syntactical song in the Bengalese finch: A neural network model

Jun Tani, Madoka Suzuki, Kazuo Okanoya, 2008, Neural Networks.

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

Shigeki Sugano, Hiroaki Arie, Jun Tani, 2013, IEEE Transactions on Autonomous Mental Development.

Use of a Sparse Structure to Improve Learning Performance of Recurrent Neural Networks

Tetsuya Ogata, Hiroshi G. Okuno, Hiroaki Arie, 2011, ICONIP.

Self-Organization of Spatio-Temporal Hierarchy via Learning of Dynamic Visual Image Patterns on Action Sequences

Jun Tani, Jungsik Hwang, Minju Jung, 2015, PloS one.

Learning to Embed Probabilistic Structures Between Deterministic Chaos and Random Process in a Variational Bayes Predictive-Coding RNN pdf

Jun Tani, Ahmadreza Ahmadi, J. Tani, 2018, ArXiv.

Goal-Oriented Behavior Generation for Visually-Guided Manipulation Task

Minho Lee, Hiroaki Arie, Jun Tani, 2011, ICONIP.

Two-way translation of compound sentences and arm motions by recurrent neural networks

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Handwriting prediction based character recognition using recurrent neural network

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

A deep learning approach for seamless integration of cognitive skills for humanoid robots

Jinhyung Kim, Jun Tani, Jungsik Hwang, 2016, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Reinforcement Learning Algorithm with CTRNN in Continuous Action Space

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2006, ICONIP.

In Press, Ieee Transactions on Autonomous Mental Development

Giulio Sandini, Stefano Nolfi, Angelo Cangelosi, 2010 .

Development of Proactive and Reactive Behavior via Meta-learning of Prediction Error Variance

Shigeki Sugano, Hiroaki Arie, Jun Tani, 2013, ICONIP.

Modeling tool-body assimilation using second-order Recurrent Neural Network

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Structural Feature Extraction Based on Active Sensing Experiences

K. Komatani, H.G. Okuno, Jun Tani, 2008, International Conference on Informatics Education and Research for Knowledge-Circulating Society (icks 2008).

A Dynamical Systems Approach for a Learnable Autonomous Robot

Naohiro Fukumura, Jun Tani, 1995, NIPS.

Incremental learning of sequence patterns with a modular network model

Jun Tani, Ichiro Igari, J. Tani, 2009, Neurocomputing.

Cooperation of Deterministic Dynamics and Random Noise in Production of Complex Syntactical Avian Song Sequences: A Neural Network Model

Jun Tani, Kazuo Okanoya, Yuichi Yamashita, 2011, Front. Comput. Neurosci..

Learning goal-directed navigation as attractor dynamics for a sensory motor system. (An experiment by the mobile robot YAMABICO)

Naohiro Fukumura, Jun Tani, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

Recognition and Generation of Sentences through Self-organizing Linguistic Hierarchy Using MTRNN

Tetsuya Ogata, Hiroshi G. Okuno, Hiroaki Arie, 2010, IEA/AIE.

Grounding Language in Action

Katharina J. Rohlfing, Jun Tani, J. Tani, 2011, IEEE Trans. Auton. Ment. Dev..

Learning to generate combinatorial action sequences utilizing the initial sensitivity of deterministic dynamical systems

Jun Tani, Ryunosuke Nishimoto, R. Nishimoto, 2004, Neural Networks.

Simultaneously emerging Braitenberg codes and compositionality

Martin V. Butz, Jun Tani, Yuuya Sugita, 2011, Adapt. Behav..

Development process of functional hierarchy for actions and motor imagery

Jun Tani, Ryunosuke Nishimoto, 2009, 2009 IEEE 8th International Conference on Development and Learning.

Open-End Human Robot Interaction from the Dynamical Systems Perspective: Mutual Adaptation and Incremental Learning

Shigeki Sugano, Tetsuya Ogata, Jun Tani, 2004, International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems.

Dynamical Systems Approach for Modeling Embodied Cognition

Jun Tani, 2016 .

Explorations on artificial time perception

Panos E. Trahanias, Jun Tani, Michail Maniadakis, 2009, Neural Networks.

Neuro-robotics study on integrative learning of proactive visual attention and motor behaviors

Minho Lee, Hiroaki Arie, Jun Tani, 2012, Cognitive Neurodynamics.

Static and dynamic memory to simulate higher-order cognitive tasks

Jun Tani, Yuichi Yamashita, Fady Alnajjar, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

2A1-E07 Reinforcement Learning with CTRNN in Continuous Space

Tetsuya Ogata, Shigeki Sugano, Hiroaki Arie, 2006 .

Active sensing based dynamical object feature extraction

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Acquiring Rules for Rules: Neuro-Dynamical Systems Account for Meta-Cognition

Jun Tani, Michail Maniadakis, J. Tani, 2009, Adapt. Behav..

Goal-oriented behavior sequence generation based on semantic commands using multiple timescales recurrent neural network with initial state correction

Minho Lee, Jun Tani, Rammohan Mallipeddi, 2014, Neurocomputing.

Imitating others by composition of primitive actions: A neuro-dynamic model

Shigeki Sugano, Hiroaki Arie, Jun Tani, 2012, Robotics Auton. Syst..

Dynamic Generation and Switching of Object Handling Behaviors by a Humanoid Robot Using a Recurrent Neural Network Model

Jun Tani, Masato Ito, Kuniaki Noda, 2006, SAB.

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

Naohiro Fukumura, Jun Tani, J. Tani, 1994, Neural Networks.

On-line Imitative Interaction with a Humanoid Robot Using a Dynamic Neural Network Model of a Mirror System

Jun Tani, Masato Ito, J. Tani, 2004, Adapt. Behav..

Estimation of functional brain connectivity from electrocorticograms using an artificial network model

Naotaka Fujii, Jun Tani, Misako Komatsu, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Experience Based Imitation Using RNNPB

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Efficient decomposition of latent representation in generative models

Jun Tani, Vsevolod Nikulin, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Towards language acquisition in autonomous robots

Angelo Cangelosi, Giorgio Metta, Jun Tani, 2008, ALIFE.

Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model

Jun Tani, Minkyu Choi, J. Tani, 2016, Neural Computation.

Generalization in Learning Multiple Temporal Patterns Using RNNPB

Jun Tani, Masato Ito, J. Tani, 2004, ICONIP.

Self-Organization of Symbolic Processes through Interaction with the Physical World

Jun Tani, J. Tani, 1995, IJCAI.

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

Jun Tani, Jun Namikawa, Ryunosuke Nishimoto, 2008, Adapt. Behav..

Neural substrates of learned abstract motor sequence: a high-field fMRI study

Jun Tani, Ryota Horie, Keiji Tanaka, 2004 .

Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model

Jun Tani, Masato Ito, Jun Namikawa, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

ITALK - Integration and Transfer of Action and Language Knowledge in Robots

Giulio Sandini, Alessandra Sciutti, Angelo Cangelosi, 2010 .

Self-organization of distributedly represented multiple behavior schemata in a mirror system: reviews of robot experiments using RNNPB [Neural Networks 17 (8–9) 1273–1289]

Jun Tani, Masato Ito, Yuuya Sugita, 2005 .

Autonomous Motion Generation Based on Reliable Predictability

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2009, J. Robotics Mechatronics.

Accounting Social Cognitive Mechanisms by the Framework of Predictive Coding and Active Inference: A Synthetic Experimental Study using Robotics Interaction Platforms

Jun Tani, 2019, HAI.

Congnition and Autonomy of Robots: A Dynamical Systems Perspective

Jun Tani, 1996 .

Analysis of motion searching based on reliable predictability using recurrent neural network

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2009, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

Self-Organization and Compositionality in Cognitive Brains: A Neurorobotics Study

Jun Tani, J. Tani, 2014, Proceedings of the IEEE.

Prediction of one dimensional hand trajectories from electrocorticograms in a monkey using Multiple Timescale Recurrent Neural Network

Jun Tani, Misako Komatsu, Naotaka Fujii, 2010, Neuroscience Research.

Self-Organization of Modules and Their Hierarchy in Robot Learning Problems: A Dynamical Systems App

Stefano Nolfi, Jun Tani, 1997 .

Dynamical Systems Account for Meta-level Cognition

Jun Tani, Michail Maniadakis, 2008, SAB.

A Neurodynamic Account of Spontaneous Behaviour

Jun Tani, Jun Namikawa, Ryunosuke Nishimoto, 2011, PLoS Comput. Biol..

Symbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment

Jun Tani, J. Tani, 2003, ABiALS.

Why is cognitive robotics promising

Minoru Asada, Yasuo Kuniyoshi, Tomomasa Sato, 1999 .

Self-organization of behavioral primitives as multiple attractor dynamics: a robot experiment

Jun Tani, J. Tani, Masato Ito, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Emergence of interactive behaviors between two robots by prediction error minimization mechanism

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2016, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Object dynamics prediction and motion generation based on reliable predictability

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2008, 2008 IEEE International Conference on Robotics and Automation.

Time perception in shaping cognitive neurodynamics of artificial agents

Panos E. Trahanias, Jun Tani, Michail Maniadakis, 2009, 2009 International Joint Conference on Neural Networks.

Task switching and environment modeling using the parametric bias for reinforcement learning

Jun Tani, Yuuya Sugita, Leszek P. Rybicki, 2010, Neuroscience Research.

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

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2014, Adv. Robotics.

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

Jun Tani, Wataru Ohata, 2020, Frontiers in Neurorobotics.

Learning Memory-Dependent Continuous Control from Demonstrations pdf

Dongqi Han, Jun Tani, Siqing Hou, 2021, ArXiv.