ICDL 2020 Journal Track

Selected for Regular Presentation

  • A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition.
    Neural Computation, 31(11), 2025–2074, 2019.
    Ahmadi, A., & Tani, J.
  • 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.
  • 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.
  • A Robust Model of Gated Working Memory.
    Neural Computation, 32(1), 153–181, 2019.
    Strock, A., Hinaut, X., & Rougier, N. P.

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.
  • 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.
  • 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.
  • 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.
  • Computational Modelling of Embodied Visual Perspective-Taking.
    IEEE Transactions on Cognitive and Developmental Systems, 1–1, 2019.
    Fischer, T., & Demiris, Y.
  • 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.
  • 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.
  • Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network.
    Entropy, 22(5), 564, 2020.
    Matsumoto, T., & Tani, J.
  • A Unified Hierarchy for Ai and Natural Intelligence Through Auto-Programming for General Purposes.
    Journal of Cognitive Science, 21(1), 53–102, 2020.
    Weng, J.