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Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model., , , , , и . Frontiers Comput. Neurosci., (2016)From Sensors to Spikes: Evolving Receptive Fields to Enhance Sensorimotor Information in a Robot-Arm., , , , и . Int. J. Neural Syst., (2012)Context Separability Mediated by the Granular Layer in a Spiking Cerebellum Model for Robot Control., , , и . IWANN (1), том 6691 из Lecture Notes in Computer Science, стр. 537-546. Springer, (2011)Computational epidemiology study of homeostatic compensation during sensorimotor aging., , , , и . Neural Networks, (2022)Bidirectional recurrent learning of inverse dynamic models for robots with elastic joints: a real-time real-world implementation., , , и . Frontiers Neurorobotics, (июня 2023)A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study., , , , , и . IEEE Trans. Neural Networks Learn. Syst., 26 (7): 1567-1574 (2015)Integrated neural and robotic simulations. Simulation of cerebellar neurobiological substrate for an object-oriented dynamic model abstraction process., , , , и . Robotics Auton. Syst., 62 (12): 1702-1716 (2014)Adaptive and Predictive Control of a Simulated Robot arm., , , , и . Int. J. Neural Syst., (2013)Event and Time Driven Hybrid Simulation of Spiking Neural Networks., , , и . IWANN (1), том 6691 из Lecture Notes in Computer Science, стр. 554-561. Springer, (2011)Exploring Vestibulo-Ocular Adaptation in a Closed-Loop Neuro-Robotic Experiment Using STDP. A Simulation Study., , , , и . IROS, стр. 1-9. IEEE, (2018)