☰

Jun Tani - Publications

Affiliations: 
OIST, Onna-son, Okinawa-ken, Japan 
Tree Info Grants Similar researchers PubMed Report error

63 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Matsumoto T, Ohata W, Tani J. Incremental Learning of Goal-Directed Actions in a Dynamic Environment by a Robot Using Active Inference. Entropy (Basel, Switzerland). 25. PMID 37998198 DOI: 10.3390/e25111506  0.437
2023 Soda T, Ahmadi A, Tani J, Honda M, Hanakawa T, Yamashita Y. Simulating developmental diversity: Impact of neural stochasticity on atypical flexibility and hierarchy. Frontiers in Psychiatry. 14: 1080668. PMID 37009124 DOI: 10.3389/fpsyt.2023.1080668  0.41
2022 Idei H, Ohata W, Yamashita Y, Ogata T, Tani J. Emergence of sensory attenuation based upon the free-energy principle. Scientific Reports. 12: 14542. PMID 36008463 DOI: 10.1038/s41598-022-18207-7  0.356
2022 Matsumoto T, Ohata W, Benureau FCY, Tani J. Goal-Directed Planning and Goal Understanding by Extended Active Inference: Evaluation through Simulated and Physical Robot Experiments. Entropy (Basel, Switzerland). 24. PMID 35455132 DOI: 10.3390/e24040469  0.305
2021 Queiẞer JF, Jung M, Matsumoto T, Tani J. Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning. Neural Computation. 33: 2353-2407. PMID 34412116 DOI: 10.1162/neco_a_01412  0.364
2020 Matsumoto T, Tani J. Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network. Entropy (Basel, Switzerland). 22. PMID 33286336 DOI: 10.3390/e22050564  0.412
2020 Han D, Doya K, Tani J. Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 129: 149-162. PMID 32534378 DOI: 10.1016/j.neunet.2020.06.002  0.384
2019 Ahmadi A, Tani J. A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition. Neural Computation. 31: 2025-2074. PMID 31525309 DOI: 10.1162/neco_a_01228  0.332
2019 Tani J, Nolfi S. Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems. Neural Networks : the Official Journal of the International Neural Network Society. 12: 1131-1141. PMID 12662649 DOI: 10.1016/S0893-6080(99)00060-X  0.42
2018 Parisi GI, Tani J, Weber C, Wermter S. Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization. Frontiers in Neurorobotics. 12: 78. PMID 30546302 DOI: 10.3389/fnbot.2018.00078  0.471
2018 Hwang J, Tani J. Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach Ieee Transactions On Cognitive and Developmental Systems. 10: 345-358. DOI: 10.1109/TCDS.2017.2714170  0.347
2018 Zhong J, Peniak M, Tani J, Ogata T, Cangelosi A. Sensorimotor input as a language generalisation tool: a neurorobotics model for generation and generalisation of noun-verb combinations with sensorimotor inputs Autonomous Robots. 43: 1271-1290. DOI: 10.1007/S10514-018-9793-7  0.44
2017 Choi M, Tani J. Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model. Neural Computation. 1-34. PMID 29064785 DOI: 10.1162/neco_a_01026  0.443
2017 Parisi GI, Tani J, Weber C, Wermter S. Lifelong learning of human actions with deep neural network self-organization. Neural Networks : the Official Journal of the International Neural Network Society. 96: 137-149. PMID 29017140 DOI: 10.1016/j.neunet.2017.09.001  0.544
2017 Ahmadi A, Tani J. How can a recurrent neurodynamic predictive coding model cope with fluctuation in temporal patterns? Robotic experiments on imitative interaction. Neural Networks : the Official Journal of the International Neural Network Society. PMID 28385623 DOI: 10.1016/j.neunet.2017.02.015  0.334
2017 Parisi GI, Tani J, Weber C, Wermter S. Emergence of multimodal action representations from neural network self-organization Cognitive Systems Research. 43: 208-221. DOI: 10.1016/J.Cogsys.2016.08.002  0.401
2015 Murata S, Yamashita Y, Arie H, Ogata T, Sugano S, Tani J. Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment. Ieee Transactions On Neural Networks and Learning Systems. PMID 26595928 DOI: 10.1109/TNNLS.2015.2492140  0.418
2015 Park G, Tani J. Development of compositional and contextual communicable congruence in robots by using dynamic neural network models. Neural Networks : the Official Journal of the International Neural Network Society. PMID 26498195 DOI: 10.1016/j.neunet.2015.09.004  0.384
2015 Jung M, Hwang J, Tani J. Self-Organization of Spatio-Temporal Hierarchy via Learning of Dynamic Visual Image Patterns on Action Sequences. Plos One. 10: e0131214. PMID 26147887 DOI: 10.1371/journal.pone.0131214  0.31
2014 Murata S, Arie H, Ogata T, Sugano S, Tani J. Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism Advanced Robotics. 28: 1189-1203. DOI: 10.1080/01691864.2014.916628  0.358
2014 Jeong S, Park Y, Mallipeddi R, Tani J, Lee M. Goal-oriented behavior sequence generation based on semantic commands using multiple timescales recurrent neural network with initial state correction Neurocomputing. 129: 67-77. DOI: 10.1016/j.neucom.2013.03.050  0.32
2013 ARIE H, NODA K, SUGA Y, TANI J, OGATA T. 1P1-B03 Adaptive Behavior Generation using Attractor Dynamics of Recurrent Neural Network(Neurorobotics & Cognitive Robotics) The Proceedings of Jsme Annual Conference On Robotics and Mechatronics (Robomec). 2013: _1P1-B03_1-_1P1-B03_. DOI: 10.1299/jsmermd.2013._1P1-B03_1  0.343
2013 Murata S, Namikawa J, Arie H, Sugano S, Tani J. Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring Ieee Transactions On Autonomous Mental Development. 5: 298-310. DOI: 10.1109/TAMD.2013.2258019  0.399
2012 Jeong S, Arie H, Lee M, Tani J. Neuro-robotics study on integrative learning of proactive visual attention and motor behaviors. Cognitive Neurodynamics. 6: 43-59. PMID 23372619 DOI: 10.1007/s11571-011-9176-7  0.402
2012 Yamashita Y, Tani J. Spontaneous prediction error generation in schizophrenia. Plos One. 7: e37843. PMID 22666398 DOI: 10.1371/journal.pone.0037843  0.31
2012 Maniadakis M, Trahanias P, Tani J. Self-organizing high-order cognitive functions in artificial agents: implications for possible prefrontal cortex mechanisms. Neural Networks : the Official Journal of the International Neural Network Society. 33: 76-87. PMID 22609533 DOI: 10.1016/j.neunet.2012.04.005  0.32
2012 Tani J. Model-based learning for mobile robot navigation from the dynamical systems perspective. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 26: 421-36. PMID 18263044 DOI: 10.1109/3477.499793  0.415
2011 Namikawa J, Nishimoto R, Tani J. A neurodynamic account of spontaneous behaviour. Plos Computational Biology. 7: e1002221. PMID 22028634 DOI: 10.1371/journal.pcbi.1002221  0.37
2011 Yamashita Y, Okumura T, Okanoya K, Tani J. Cooperation of deterministic dynamics and random noise in production of complex syntactical avian song sequences: a neural network model. Frontiers in Computational Neuroscience. 5: 18. PMID 21559065 DOI: 10.3389/fncom.2011.00018  0.335
2011 MURATA S, ARIE H, TANI J, SUGANO S. 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) The Proceedings of Jsme Annual Conference On Robotics and Mechatronics (Robomec). 2011: _2P2-M03_1-_2P2-M03_. DOI: 10.1299/jsmermd.2011._2P2-M03_1  0.374
2010 Namikawa J, Tani J. Learning to imitate stochastic time series in a compositional way by chaos. Neural Networks : the Official Journal of the International Neural Network Society. 23: 625-38. PMID 20045751 DOI: 10.1016/j.neunet.2009.12.006  0.411
2010 Yamashita Y, Tani J. Correction: Emergence of Functional Hierarchy in a Multiple Timescale Neural Network Model: A Humanoid Robot Experiment Plos Computational Biology. 6. DOI: 10.1371/annotation/c580e39c-00bc-43a2-9b15-af71350f9d43  0.362
2010 Cangelosi A, Metta G, Sagerer G, Nolfi S, Nehaniv C, Fischer K, Tani J, Belpaeme T, Sandini G, Nori F, Fadiga L, Wrede B, Rohlfing K, Tuci E, Dautenhahn K, et al. Integration of action and language knowledge: A roadmap for developmental robotics Ieee Transactions On Autonomous Mental Development. 2: 167-195. DOI: 10.1109/Tamd.2010.2053034  0.353
2010 Rybicki LP, Sugita Y, Tani J. Task switching and environment modeling using the parametric bias for reinforcement learning Neuroscience Research. 68: e107. DOI: 10.1016/j.neures.2010.07.2032  0.36
2009 Nishimoto R, Tani J. Development of hierarchical structures for actions and motor imagery: a constructivist view from synthetic neuro-robotics study. Psychological Research. 73: 545-58. PMID 19352697 DOI: 10.1007/s00426-009-0236-0  0.385
2009 Maniadakis M, Tani J. Acquiring Rules for Rules: Neuro-Dynamical Systems Account for Meta-Cognition Adaptive Behavior. 17: 58-80. DOI: 10.1177/1059712308101739  0.384
2009 Namikawa J, Tani J. Building Recurrent Neural Networks to Implement Multiple Attractor Dynamics Using the Gradient Descent Method Advances in Artificial Neural Systems. 2009: 1-11. DOI: 10.1155/2009/846040  0.44
2009 ARIE H, ENDO T, ARAKAKI T, SUGANO S, TANI J. CREATING NOVEL GOAL-DIRECTED ACTIONS AT CRITICALITY: A NEURO-ROBOTIC EXPERIMENT New Mathematics and Natural Computation. 5: 307-334. DOI: 10.1142/S1793005709001283  0.422
2009 Igari I, Tani J. Incremental learning of sequence patterns with a modular network model Neurocomputing. 72: 1910-1919. DOI: 10.1016/j.neucom.2008.05.002  0.41
2008 Yamashita Y, Tani J. Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment. Plos Computational Biology. 4: e1000220. PMID 18989398 DOI: 10.1371/journal.pcbi.1000220  0.322
2008 Namikawa J, Tani J. A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance. Neural Networks : the Official Journal of the International Neural Network Society. 21: 1466-75. PMID 18938059 DOI: 10.1016/j.neunet.2008.09.005  0.422
2008 Tani J, Nishimoto R, Paine RW. Achieving "organic compositionality" through self-organization: reviews on brain-inspired robotics experiments. Neural Networks : the Official Journal of the International Neural Network Society. 21: 584-603. PMID 18495423 DOI: 10.1016/j.neunet.2008.03.008  0.426
2008 Yamashita Y, Takahasi M, Okumura T, Ikebuchi M, Yamada H, Suzuki M, Okanoya K, Tani J. Developmental learning of complex syntactical song in the Bengalese finch: a neural network model. Neural Networks : the Official Journal of the International Neural Network Society. 21: 1224-31. PMID 18460417 DOI: 10.1016/j.neunet.2008.03.003  0.441
2008 Tani J, Nishimoto R, Namikawa J, Ito M. Codevelopmental learning between human and humanoid robot using a dynamic neural-network model. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 38: 43-59. PMID 18270081 DOI: 10.1109/TSMCB.2007.907738  0.538
2008 ARIE H, OGATA T, TANI J, SUGANO S. 2P1-G06 Brain-inspired model of motor learning mechanism for object manipulation : Co-learning model of body image and desired behavior The Proceedings of Jsme Annual Conference On Robotics and Mechatronics (Robomec). 2008: _2P1-G06_1-_2P1-G06_. DOI: 10.1299/JSMERMD.2008._2P1-G06_1  0.332
2008 Nishimoto R, Namikawa J, Tani J. Learning Multiple Goal-Directed Actions Through Self-Organization of a Dynamic Neural Network Model: A Humanoid Robot Experiment Adaptive Behavior. 16: 166-181. DOI: 10.1177/1059712308089185  0.495
2007 ARIE H, Bruehwiler B, OGATA T, TANI J, SUGANO S. 2A1-B10 Control of Tendon-driven Robot Arm Using Neural Network : Learning of Inverse Model form Random Movements The Proceedings of Jsme Annual Conference On Robotics and Mechatronics (Robomec). 2007: _2A1-B10_1-_2A1-B10_. DOI: 10.1299/jsmermd.2007._2A1-B10_1  0.407
2006 Ito M, Noda K, Hoshino Y, Tani J. Dynamic and interactive generation of object handling behaviors by a small humanoid robot using a dynamic neural network model. Neural Networks : the Official Journal of the International Neural Network Society. 19: 323-37. PMID 16618536 DOI: 10.1016/j.neunet.2006.02.007  0.458
2005 Paine RW, Tani J. How Hierarchical Control Self-organizes in Artificial Adaptive Systems Adaptive Behavior. 13: 211-225. DOI: 10.1177/105971230501300303  0.374
2005 Sugita Y, Tani J. Learning Semantic Combinatoriality from the Interaction between Linguistic and Behavioral Processes Adaptive Behavior. 13: 33-52. DOI: 10.1177/105971230501300102  0.357
2005 Ogata T, Sugano S, Tani J. Open-end human–robot interaction from the dynamical systems perspective: mutual adaptation and incremental learning Advanced Robotics. 19: 651-670. DOI: 10.1163/1568553054255655  0.335
2005 Tani J, Ito M, Sugita Y. 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] Neural Networks. 18: 103-104. DOI: 10.1016/J.NEUNET.2004.12.001  0.365
2004 Paine RW, Tani J. Motor primitive and sequence self-organization in a hierarchical recurrent neural network. Neural Networks : the Official Journal of the International Neural Network Society. 17: 1291-309. PMID 15555867 DOI: 10.1016/j.neunet.2004.08.005  0.378
2004 Tani J, Ito M, Sugita Y. Self-organization of distributedly represented multiple behavior schemata in a mirror system: reviews of robot experiments using RNNPB. Neural Networks : the Official Journal of the International Neural Network Society. 17: 1273-89. PMID 15555866 DOI: 10.1016/j.neunet.2004.05.007  0.464
2004 Nishimoto R, Tani J. Learning to generate combinatorial action sequences utilizing the initial sensitivity of deterministic dynamical systems. Neural Networks : the Official Journal of the International Neural Network Society. 17: 925-33. PMID 15312836 DOI: 10.1016/j.neunet.2004.02.003  0.367
2004 Ito M, Tani J. On-line Imitative Interaction with a Humanoid Robot Using a Dynamic Neural Network Model of a Mirror System Adaptive Behavior. 12: 93-115. DOI: 10.1177/105971230401200202  0.374
2003 Tani J. Learning to generate articulated behavior through the bottom-up and the top-down interaction processes. Neural Networks : the Official Journal of the International Neural Network Society. 16: 11-23. PMID 12576102 DOI: 10.1016/s0893-6080(02)00214-9  0.469
2002 Tani J, Yamamoto J. On the dynamics of robot exploration learning Cognitive Systems Research. 3: 459-470. DOI: 10.1016/S1389-0417(02)00052-9  0.427
1997 Fukumura N, Tani J. Self-organizing Internal Representation in Learning of Navigation: A Physical Experiment by the Mobile Robot YAMABICO. Neural Networks : the Official Journal of the International Neural Network Society. 10: 153-159. PMID 12662894 DOI: 10.1016/s0893-6080(96)00066-4  0.384
1995 Fukumura N, Tani J. Learning in robotics. Learning Goal-directed Behaviour as Dynamical System for Sensory Motor System. Journal of the Robotics Society of Japan. 13: 75-81. DOI: 10.7210/JRSJ.13.75  0.425
1995 Tani J, Fukumura N. Embedding a grammatical description in deterministic chaos: an experiment in recurrent neural learning Biological Cybernetics. 72: 365-370. DOI: 10.1007/BF00202792  0.422
1994 Tani J, Fukumura N. Learning goal-directed sensory-based navigation of a mobile robot Neural Networks. 7: 553-563. DOI: 10.1016/0893-6080(94)90112-0  0.373
1992 Tani J. Proposal of chaotic steepest descent method for neural networks and analysis of their dynamics Electronics and Communications in Japan (Part Iii: Fundamental Electronic Science). 75: 62-70. DOI: 10.1002/ECJC.4430750406  0.312
Show low-probability matches.