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Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks.

, , , , and . Front. Neuroinform., (2017)

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A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study., , , , , and . IEEE Trans. Neural Netw. Learning Syst., 26 (7): 1567-1574 (2015)Adaptive cerebellar Spiking Model Embedded in the Control Loop: Context Switching and Robustness against noise., , , , and . Int. J. Neural Syst., 21 (5): 385-401 (2011)Integrated neural and robotic simulations. Simulation of cerebellar neurobiological substrate for an object-oriented dynamic model abstraction process., , , , and . Robotics and Autonomous Systems, 62 (12): 1702-1716 (2014)Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks., , , , and . Front. Neuroinform., (2018)Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model., , , , , and . Front. Comput. Neurosci., (2016)From Sensors to Spikes: Evolving Receptive Fields to Enhance Sensorimotor Information in a Robot-Arm., , , , and . Int. J. Neural Syst., (2012)Context Separability Mediated by the Granular Layer in a Spiking Cerebellum Model for Robot Control., , , and . IWANN (1), volume 6691 of Lecture Notes in Computer Science, page 537-546. Springer, (2011)Computational epidemiology study of homeostatic compensation during sensorimotor aging., , , , and . Neural Networks, (2022)Adaptive and Predictive Control of a Simulated Robot arm., , , , and . Int. J. Neural Syst., (2013)Event and Time Driven Hybrid Simulation of Spiking Neural Networks., , , and . IWANN (1), volume 6691 of Lecture Notes in Computer Science, page 554-561. Springer, (2011)