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Learning to Embed Probabilistic Structures Between Deterministic Chaos and Random Process in a Variational Bayes Predictive-Coding RNN.

, and . CoRR, (2018)

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Integrative Learning between Language and Action: A Neuro-Robotics Experiment., , , , , and . ICANN (2), volume 6353 of Lecture Notes in Computer Science, page 256-265. Springer, (2010)Learning Semantic Combinatoriality from the Interaction between Linguistic and Behavioral Processes., and . Adaptive Behaviour, 13 (1): 33-52 (2005)Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model., and . CoRR, (2017)Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks., , and . IEEE Trans. Cognitive and Developmental Systems, 10 (4): 1058-1069 (2018)Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network., and . Entropy, 22 (5): 564 (2020)Initialization of latent space coordinates via random linear projections for learning robotic sensory-motor sequences., and . Frontiers Neurorobotics, (September 2022)Self-Organization and Compositionality in Cognitive Brains Further Thoughts., , and . Proc. IEEE, 102 (3): 606-607 (2014)Towards language acquisition in autonomous robots., , , and . ALIFE, page 808. MIT Press, (2008)Morphological Wobbling Can Help Robots Learn., and . ICDL, page 257-264. IEEE, (2022)Static and dynamic memory to simulate higher-order cognitive tasks., , and . IJCNN, page 1-6. IEEE, (2012)