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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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Exploring Vestibulo-Ocular Adaptation in a Closed-Loop Neuro-Robotic Experiment Using STDP. A Simulation Study., , , , and . IROS, page 1-9. IEEE, (2018)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)Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms., , , , , , , and . IEEE Trans. Biomed. Engineering, 63 (1): 210-219 (2016)Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks., , , , and . Front. Neuroinform., (2017)Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model., , , , , and . Front. Comput. Neurosci., (2016)Computational epidemiology study of homeostatic compensation during sensorimotor aging., , , , and . Neural Networks, (2022)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)