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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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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)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)Static and dynamic memory to simulate higher-order cognitive tasks., , and . IJCNN, page 1-6. IEEE, (2012)Self-Organization of Symbolic Processes through Interaction with the Physical World.. IJCAI, page 112-118. Morgan Kaufmann, (1995)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)Acquiring a Functionally Compositional System of Goal-Directed Actions of a Simulated Agent., and . SAB, volume 5040 of Lecture Notes in Computer Science, page 331-341. Springer, (2008)A Dynamic Neural Network Approach to Generating Robot's Novel Actions: A Simulation Experiment., and . UR, page 355-361. IEEE, (2018)Goal-Directed Behavior under Variational Predictive Coding: Dynamic organization of Visual Attention and Working Memory., , and . IROS, page 1040-1047. IEEE, (2019)Towards language acquisition in autonomous robots., , , and . ALIFE, page 808. MIT Press, (2008)