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Self-organization of object features representing motion using Multiple Timescales Recurrent Neural Network.

, , , and . IJCNN, page 1-8. IEEE, (2012)

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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)Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network., and . Entropy, 22 (5): 564 (2020)Self-Organization of Symbolic Processes through Interaction with the Physical World.. IJCAI, page 112-118. Morgan Kaufmann, (1995)Static and dynamic memory to simulate higher-order cognitive tasks., , and . IJCNN, page 1-6. IEEE, (2012)Goal-Directed Behavior under Variational Predictive Coding: Dynamic organization of Visual Attention and Working Memory., , and . IROS, page 1040-1047. IEEE, (2019)A Dynamic Neural Network Approach to Generating Robot's Novel Actions: A Simulation Experiment., and . UR, page 355-361. IEEE, (2018)Evolved Motor Primitives and Sequences in a Hierarchical Recurrent Neural Network., and . GECCO (1), volume 3102 of Lecture Notes in Computer Science, page 603-614. Springer, (2004)On the Dynamics of Robot Exploration Learning., and . ECAL, volume 1674 of Lecture Notes in Computer Science, page 279-288. Springer, (1999)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)