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Training convolutional networks of threshold neurons suited for low-power hardware implementation., , and . IJCNN, page 21-28. IEEE, (2006)Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model., , , and . IJCNN, page 1-6. IEEE, (2006)How to Simulate the Brain without a Computer.. BICA, volume 196 of Advances in Intelligent Systems and Computing, page 37. Springer, (2012)Modeling Synaptic Plasticity within Networks of Highly Accelerated I&F Neurons., , , and . ISCAS, page 3367-3370. IEEE, (2007)Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons., , , , , , and . Front. Comput. Neurosci., (2015)A Basic Phase Diagram of Neuronal Dynamics., , , , , , , , , and . Neural Computation, (2018)Stochasticity from function - why the Bayesian brain may need no noise., , , , , , , , and . CoRR, (2018)A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores., , , , , , and . CoRR, (2018)Spiking neurons with short-term synaptic plasticity form superior generative networks., , , , , , , and . CoRR, (2017)Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system., , , , , and . Front. Neuroinform., (2009)