J. Tani

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

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.

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).

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.

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.

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).

Neurodynamical Account for Altered Awareness of Action in Schizophrenia: A Synthetic Neuro-Robotic Study

J. Tani, Yuichi Yamashita, 2013 .

Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach

Jun Tani, Jungsik Hwang, J. Tani, 2017, IEEE Transactions on Cognitive and Developmental Systems.

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).

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..

Learning Semantic Combinatoriality from the Interaction between Linguistic and Behavioral Processes

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

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

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

How Hierarchical Control Self-organizes in Artificial Adaptive Systems

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

Simulating developmental diversity: Impact of neural stochasticity on atypical flexibility and hierarchy

J. Tani, Ahmadreza Ahmadi, T. Hanakawa, 2023, Frontiers in Psychiatry.

Embedding task-based behavior into internal sensory-based attractor dynamics in navigation of a mobile robot

Naohiro Fukumura, Jun Tani, J. Tani, 1994, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94).

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

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

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

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

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).

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.

Turn-Taking Mechanisms in Imitative Interaction: Robotic Social Interaction Based on the Free Energy Principle

J. Tani, Wataru Ohata, Nadine Wirkuttis, 2023, Entropy.

Leading or Following? Dyadic Robot Imitative Interaction Using the Active Inference Framework

Jun Tani, Nadine Wirkuttis, J. Tani, 2021, IEEE Robotics and Automation Letters.

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

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

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

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

A Neurorobotics Simulation of Autistic Behavior Induced by Unusual Sensory Precision

Tetsuya Ogata, Jun Tani, Shingo Murata, 2018, Computational Psychiatry.

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).

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

Jun Tani, J. Tani, 1998 .

Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution

Fabien C. Y. Benureau, J. Tani, 2020, Artificial Life.

Tool–Body Assimilation of Humanoid Robot Using a Neurodynamical System

Tetsuya Ogata, Hiroshi G. Okuno, Jun Tani, 2012, IEEE Transactions on Autonomous Mental Development.

Towards robots with teleological action and language understanding

Pierre-Yves Oudeyer, Jochen J. Steil, Sebastian Wrede, 2012, Humanoids 2012.

Habits and goals in synergy: a variational Bayesian framework for behavior

K. Doya, J. Tani, Dongqi Han, 2023, Nature communications.

Goal-Directed Planning by Reinforcement Learning and Active Inference pdf

Dongqi Han, Kenji Doya, Jun Tani, 2021, ArXiv.

Learning Memory-Dependent Continuous Control from Demonstrations pdf

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

Variational Recurrent Models for Solving Partially Observable Control Tasks pdf

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

Precursor and processing effects on BaPbO_3 formation kinetics

J. Tani, G. Popov, R. Riman, 2006 .

A Neurodynamic Account of Spontaneous Behaviour

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

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

J. Tani, H. Chame, Ahmadreza Ahmadi, 2020, ArXiv.

Incremental learning of sequence patterns with a modular network model

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

Philosophy and Computers

J. Tani, S. Thaler, J. White, 2017 .

Controlling the Sense of Agency in Dyadic Robot Interaction: An Active Inference Approach pdf

Jun Tani, Nadine Wirkuttis, J. Tani, 2021, ArXiv.

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.

Articulation of sensory-motor experiences by forwarding forward model: from robot experiments to phenomenology

Jun Tani, J. Tani, 2002 .

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.

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.

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

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

Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles

Stefano Nolfi, Alessandra Sciutti, Angelo Cangelosi, 2016 .

Semantics as Syntax

Jun Tani, J. Tani, 2017 .

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

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

Generalization in Learning Multiple Temporal Patterns Using RNNPB

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

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.

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

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

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..

Dimitri: an Open-Source Humanoid Robot with Compliant Joint

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

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

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

Explorations on artificial time perception

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

Time perception in shaping cognitive neurodynamics of artificial agents

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

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.

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

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

Goal-Directed Planning and Goal Understanding by Extended Active Inference: Evaluation through Simulated and Physical Robot Experiments

Fabien C. Y. Benureau, J. Tani, Wataru Ohata, 2022, Entropy.

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..

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

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

Editorial: Behavior and Mind as a Complex Adaptive System

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

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..

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

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

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

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

Self-Organization of Behavior Primitives as Multiple Attractor Dynamics by the "Forwarding Forward Model" network

Jun Tani, J. Tani, 2002 .

Symbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment

Jun Tani, J. Tani, 2003, ABiALS.

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.

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).

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

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

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.

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.

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.

Embedding a grammatical description in deterministic chaos: an experiment in recurrent neural learning

Naohiro Fukumura, Jun Tani, J. Tani, 1995, Biological Cybernetics.

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

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

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.

Cognitive and motor compliance in intentional human-robot interaction

J. Tani, H. F. Chame, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Morphological Wobbling Can Help Robots Learn

Fabien C. Y. Benureau, J. Tani, 2022, 2022 IEEE International Conference on Development and Learning (ICDL).

Self-organizing high-order cognitive functions in artificial agents: Implications for possible prefrontal cortex mechanisms

Panos E. Trahanias, Jun Tani, Michail Maniadakis, 2012, Neural Networks.

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

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

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.

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

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

Grounding Language in Action

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

Further thoughts on the paper by Tani Self-Organization and Compositionality in Cognitive Brains

Karl J. Friston, S. Haykin, J. Tani, 2014 .

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

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

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

S. Sugano, T. Ogata, J. Tani, 2017, IEEE Transactions on Neural Networks and Learning Systems.

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

Shigeki Sugano, Jun Tani, Tetsuro Endo, 2009 .