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PyNN: a common interface for neuronal network simulators, , , , , , , and . Frontiers in Neuroinformatics, (2009)PCSIM: a parallel simulation environment for neural circuits fully integrated with Python., , and . Frontiers Neuroinformatics, (2009)PyNN: a common interface for neuronal network simulators., , , , , , , and . Frontiers Neuroinformatics, (2008)Simulation of networks of spiking neurons: A review of tools and strategies, , , , , , , , , and 12 other author(s). Journal of Computational Neuroscience, 23 (3): 349-398 (2007)A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback., , and . PLoS Comput. Biol., (2008)NEVESIM: event-driven neural simulation framework with a Python interface., , and . Frontiers Neuroinformatics, (2014)PyNN: a common interface for neuronal network simulators, , , , , , , and . Frontiers in Neuroinformatics, (2009)Simulation of networks of spiking neurons: A review of tools and strategies., , , , , , , , , and 12 other author(s). J. Comput. Neurosci., 23 (3): 349-398 (2007)PCSIM: a parallel simulation environment for neural circuits fully integrated with Python, , and . Frontiers in Neuroinformatics, (2009)Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons., , and . PLoS Comput. Biol., (2011)