Stochastic inference with deterministic spiking neurons. - Mihai A. Petrovici; Johannes Bill; Ilja Bytschok; Johannes Schemmel; Karlheinz Meier (CoRR, 2013)

Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons. - Dimitri Probst; Mihai A. Petrovici; Ilja Bytschok; Johannes Bill; Dejan Pecevski; Johannes Schemmel; Karlheinz Meier (Frontiers Comput. Neurosci., 2015)

The high-conductance state enables neural sampling in networks of LIF neurons. - Mihai A. Petrovici; Ilja Bytschok; Johannes Bill; Johannes Schemmel; Karlheinz Meier (CoRR, 2016)

Stochastic inference with spiking neurons in the high-conductance state. - Mihai A. Petrovici; Johannes Bill; Ilja Bytschok; Johannes Schemmel; Karlheinz Meier (CoRR, 2016)

Pattern representation and recognition with accelerated analog neuromorphic systems. - Mihai A. Petrovici; Sebastian Schmitt; Johann Klähn; Robert D. St. Louis; Anna Schroeder; Guillaume Bellec; Johannes Bill; Oliver Breitwieser; Ilja Bytschok; Andreas Grübl; Maurice Güttler; Andreas Hartel; et al. (ISCAS, 2017)

Pattern representation and recognition with accelerated analog neuromorphic systems. - Mihai A. Petrovici; Sebastian Schmitt; Johann Klähn; David Stöckel; Anna Schroeder; Guillaume Bellec; Johannes Bill; Oliver Breitwieser; Ilja Bytschok; Andreas Grübl; Maurice Güttler; Andreas Hartel; et al. (CoRR, 2017)

Spiking neurons with short-term synaptic plasticity form superior generative networks. - Luziwei Leng; Roman Martel; Oliver Breitwieser; Ilja Bytschok; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (CoRR, 2017)

Computing with noise in spiking neural networks. - Ilja Bytschok (2017)

Stochasticity from function - Why the Bayesian brain may need no noise. - Dominik Dold; Ilja Bytschok; Ákos F. Kungl; Andreas Baumbach; Oliver Breitwieser; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (Neural Networks, 2019)