Johannes Bill
Johannes Bill
Harvard Medical School
Verified email at hms.harvard.edu - Homepage
TitleCited byYear
Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons
L Buesing, J Bill, B Nessler, W Maass
PLoS computational biology 7 (11), e1002211, 2011
3102011
Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses
A Serb, J Bill, A Khiat, R Berdan, R Legenstein, T Prodromakis
Nature communications 7, 12611, 2016
1372016
A compound memristive synapse model for statistical learning through STDP in spiking neural networks
J Bill, R Legenstein
Frontiers in neuroscience 8, 412, 2014
732014
Stochastic inference with deterministic spiking neurons
MA Petrovici, J Bill, I Bytschok, J Schemmel, K Meier
arXiv preprint arXiv:1311.3211, 2013
372013
Stochastic inference with spiking neurons in the high-conductance state
MA Petrovici, J Bill, I Bytschok, J Schemmel, K Meier
Physical Review E 94 (4), 042312, 2016
312016
Compensating inhomogeneities of neuromorphic VLSI devices via short-term synaptic plasticity
J Bill, K Schuch, D Brüderle, J Schemmel, W Maass, K Meier
Frontiers in computational neuroscience 4, 129, 2010
262010
Probabilistic Inference in Discrete Spaces Can Be Implemented into Networks of LIF Neurons
D Probst, MA Petrovici, I Bytschok, J Bill, D Pecevski, J Schemmel, ...
Frontiers in Computational Neuroscience 9, 2015
242015
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints
S Habenschuss, J Bill, B Nessler
Advances in Neural Information Processing Systems, 773-781, 2012
242012
Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system
D Briiderle, J Bill, B Kaplan, J Kremkow, K Meier, E Müller, J Schemmel
Proceedings of 2010 IEEE International Symposium on Circuits and Systems …, 2010
142010
Self-stabilizing network architectures on a neuromorphic hardware system
J Bill
122008
Pattern representation and recognition with accelerated analog neuromorphic systems
MA Petrovici, S Schmitt, J Klähn, D Stöckel, A Schroeder, G Bellec, J Bill, ...
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
112017
The high-conductance state enables neural sampling in networks of LIF neurons
MA Petrovici, I Bytschok, J Bill, J Schemmel, K Meier
BMC neuroscience 16 (1), O2, 2015
112015
Distributed bayesian computation and self-organized learning in sheets of spiking neurons with local lateral inhibition
J Bill, L Buesing, S Habenschuss, B Nessler, W Maass, R Legenstein
PloS one 10 (8), e0134356, 2015
92015
Resonant quantum dynamics of neutral spin-1 particles in a magnetic guide
J Bill, MI Trappe, I Lesanovsky, P Schmelcher
Physical Review A 73 (5), 053609, 2006
82006
Spiking neural networks as superior generative and discriminative models
L Leng, MA Petrovici, R Martel, I Bytschok, O Breitwieser, J Bill, ...
Cosyne Abstracts, Salt Lake City USA, 2016
42016
25th annual computational neuroscience meeting: CNS-2016
TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ...
BMC Neuroscience 17 (1), 54, 2016
22016
Neural networks as sources of uncorrelated noise for functional neural systems
J Jordan, I Bytschok, T Tetzlaff, T Pfeil, O Breitwieser, J Bill, M Diesmann, ...
OCCAM 2014, 2014
22014
Fast sampling with neuromorphic hardware
MA Petrovici, D Stöckel, I Bytschok, J Bill, T Pfeil, J Schemmel, K Meier
arXiv preprint arXiv:1311.3211, 2013
22013
Live demonstration: Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system
D Briiderle, J Bill, B Kaplan, J Kremkow, K Meier, E Miiller, J Schemmel
Proceedings of 2010 IEEE International Symposium on Circuits and Systems …, 2010
12010
Deterministic neural networks as sources of uncorrelated noise for probabilistic computations
J Jordan, T Tetzlaff, M Petrovici, O Breitwieser, I Bytschok, J Bill, ...
BMC neuroscience 16 (1), P62, 2015
2015
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Articles 1–20