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Stochastic inference with deterministic spiking neurons., , , , and . CoRR, (2013)Pattern representation and recognition with accelerated analog neuromorphic systems., , , , , , , , , and 26 other author(s). ISCAS, page 1-4. IEEE, (2017)Stochastic inference with spiking neurons in the high-conductance state., , , , and . CoRR, (2016)Stochasticity from function - Why the Bayesian brain may need no noise., , , , , , , , and . Neural Networks, (2019)The high-conductance state enables neural sampling in networks of LIF neurons., , , , and . CoRR, (2016)Computing with noise in spiking neural networks.. University of Heidelberg, Germany, (2017)Pattern representation and recognition with accelerated analog neuromorphic systems., , , , , , , , , and 25 other author(s). CoRR, (2017)Stochasticity from function - why the Bayesian brain may need no noise., , , , , , , , and . CoRR, (2018)Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons., , , , , , and . Front. Comput. Neurosci., (2015)Spiking neurons with short-term synaptic plasticity form superior generative networks., , , , , , , and . CoRR, (2017)