A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition.
Neural Computation, 31(11), 2025–2074, 2019.
Ahmadi, A., & Tani, J. https://doi.org/10.1162/neco_a_01228
Self-Organization of Action Hierarchy and Compositionality by Reinforcement Learning with Recurrent Neural Networks.
Neural Networks, 129, 149–162, 2020.
Han, D., Doya, K., & Tani, J. https://doi.org/10.1016/j.neunet.2020.06.002
Exploratory Dynamics of Vocal Foraging During Infant-Caregiver Communication.
Scientific Reports, 10(1), 10469, 2020.
Ritwika, V. P. S., Pretzer, G. M., Mendoza, S., Shedd, C., Kello, C. T., Gopinathan, A., & Warlaumont, A. S. https://doi.org/10.1038/s41598-020-66778-0
A Robust Model of Gated Working Memory.
Neural Computation, 32(1), 153–181, 2019.
Strock, A., Hinaut, X., & Rougier, N. P. https://doi.org/10.1162/neco_a_01249
Selected for Poster Presentation
Composing Diverse Policies for Temporally Extended Tasks.
IEEE Robotics and Automation Letters, 5(2), 2658–2665, 2020.
Angelov, D., Hristov, Y., Burke, M., & Ramamoorthy, S. https://doi.org/10.1109/LRA.2020.2972794
Adapting the Interplay Between Personalized and Generalized Affect Recognition Based on an Unsupervised Neural Framework.
IEEE Transactions on Affective Computing, 2020.
Barros, P., Barakova, E., & Wermter, S. https://doi.org/10.1109/TAFFC.2020.3002657
Depth and the Uncertainty of Statistical Knowledge on Musical Creativity Fluctuate Over a Composer's Lifetime.
Frontiers in Computational Neuroscience, 13(27), 2019.
Daikoku, T. https://doi.org/10.3389/fncom.2019.00027
Rapid Learning of Complex Sequences with Time Constraints: A Dynamic Neural Field Model.
IEEE Transactions on Cognitive and Developmental Systems, 1–1, 2020.
Ferreira, F., Wojtak, W., Sousa, E., Louro, L., Bicho, E., & Erlhagen, W. https://doi.org/10.1109/TCDS.2020.2991789
Computational Modelling of Embodied Visual Perspective-Taking.
IEEE Transactions on Cognitive and Developmental Systems, 1–1, 2019.
Fischer, T., & Demiris, Y. https://doi.org/10.1109/TCDS.2019.2949861
Robots Learning to Say “No”: Prohibition and Rejective Mechanisms in Acquisition of Linguistic Negation.
ACM Transactions on Human-Robot Interaction, 8(4), 23:1–23:26, 2019.
Förster, F., Saunders, J., Lehmann, H., & Nehaniv, C. L. https://doi.org/10.1145/3359618
Crossmodal Language Grounding in an Embodied Neurocognitive Model.
Frontiers in Neurorobotics, 14, 2020.
Heinrich, S., Yao, Y., Hinz, T., Liu, Z., Hummel, T., Kerzel, M., Weber, C., & Wermter, S. https://doi.org/10.3389/fnbot.2020.00052
Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network.
Entropy, 22(5), 564, 2020.
Matsumoto, T., & Tani, J. https://doi.org/10.3390/e22050564