Jun Tani
Affiliations: | OIST, Onna-son, Okinawa-ken, Japan |
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Publications
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| Matsumoto T, Ohata W, Tani J. (2023) Incremental Learning of Goal-Directed Actions in a Dynamic Environment by a Robot Using Active Inference. Entropy (Basel, Switzerland). 25 |
| Soda T, Ahmadi A, Tani J, et al. (2023) Simulating developmental diversity: Impact of neural stochasticity on atypical flexibility and hierarchy. Frontiers in Psychiatry. 14: 1080668 |
| Idei H, Ohata W, Yamashita Y, et al. (2022) Emergence of sensory attenuation based upon the free-energy principle. Scientific Reports. 12: 14542 |
| Matsumoto T, Ohata W, Benureau FCY, et al. (2022) Goal-Directed Planning and Goal Understanding by Extended Active Inference: Evaluation through Simulated and Physical Robot Experiments. Entropy (Basel, Switzerland). 24 |
| Queiẞer JF, Jung M, Matsumoto T, et al. (2021) Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning. Neural Computation. 33: 2353-2407 |
| Matsumoto T, Tani J. (2020) Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network. Entropy (Basel, Switzerland). 22 |
| Han D, Doya K, Tani J. (2020) 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 |
| Ahmadi A, Tani J. (2019) A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition. Neural Computation. 31: 2025-2074 |
| Tani J, Nolfi S. (2019) 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 |
| Parisi GI, Tani J, Weber C, et al. (2018) Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization. Frontiers in Neurorobotics. 12: 78 |