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ORCIDJohannes Bill
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2010 – 2019
- 2017
[c4]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, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier:
Pattern representation and recognition with accelerated analog neuromorphic systems. ISCAS 2017: 1-4- [i4]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, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier:
Pattern representation and recognition with accelerated analog neuromorphic systems. CoRR abs/1703.06043 (2017) - 2016
- [i3]Mihai A. Petrovici, Ilja Bytschok, Johannes Bill, Johannes Schemmel, Karlheinz Meier:
The high-conductance state enables neural sampling in networks of LIF neurons. CoRR abs/1601.00909 (2016) - [i2]Mihai A. Petrovici, Johannes Bill, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier:
Stochastic inference with spiking neurons in the high-conductance state. CoRR abs/1610.07161 (2016) - 2015
- [j3]Dimitri Probst, Mihai A. Petrovici, Ilja Bytschok, Johannes Bill, Dejan Pecevski, Johannes Schemmel, Karlheinz Meier:
Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons. Frontiers Comput. Neurosci. 9: 13 (2015) - 2013
- [i1]Mihai A. Petrovici, Johannes Bill, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier:
Stochastic inference with deterministic spiking neurons. CoRR abs/1311.3211 (2013) - 2012
- [c3]Stefan Habenschuss, Johannes Bill, Bernhard Nessler:
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints. NIPS 2012: 782-790 - 2011
- [j2]Lars Buesing, Johannes Bill, Bernhard Nessler, Wolfgang Maass:
Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons. PLoS Comput. Biol. 7(11) (2011) - 2010
- [j1]Johannes Bill, Klaus Schuch, Daniel Brüderle, Johannes Schemmel, Wolfgang Maass, Karlheinz Meier:
Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity. Frontiers Comput. Neurosci. 4: 129 (2010) - [c2]Daniel Brüderle, Johannes Bill, Bernhard Kaplan, Jens Kremkow, Karlheinz Meier, Eric Müller, Johannes Schemmel:
Live demonstration: Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system. ISCAS 2010: 2783 - [c1]Daniel Brüderle, Johannes Bill, Bernhard Kaplan, Jens Kremkow, Karlheinz Meier, Eric Müller, Johannes Schemmel:
Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system. ISCAS 2010: 2784-2787
Coauthor Index
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