Johannes Bill
Johannes Bill
Harvard Medical School
Verified email at hms.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons
L Buesing, J Bill, B Nessler, W Maass
PLoS Comput Biol 7 (11), e1002211, 2011
3652011
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 (1), 1-9, 2016
2222016
A compound memristive synapse model for statistical learning through STDP in spiking neural networks
J Bill, R Legenstein
Frontiers in neuroscience 8, 412, 2014
912014
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
482016
Stochastic inference with deterministic spiking neurons
MA Petrovici, J Bill, I Bytschok, J Schemmel, K Meier
arXiv preprint arXiv:1311.3211, 2013
402013
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints
S Habenschuss, J Bill, B Nessler
Advances in neural information processing systems 25, 773-781, 2012
312012
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
282010
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
262015
Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system
D Brüderle, J Bill, B Kaplan, J Kremkow, K Meier, E Müller, J Schemmel
2010 IEEE International Symposium on Circuits and Systems (ISCAS), 2784-8787, 2010
162010
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
152015
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
142017
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), 1-2, 2015
122015
Self-stabilizing network architectures on a neuromorphic hardware system
J Bill
122008
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
52016
25th annual computational neuroscience meeting: CNS-2016
TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ...
BMC neuroscience 17 (1), 1-112, 2016
42016
Hierarchical structure is employed by humans during visual motion perception
J Bill, H Pailian, SJ Gershman, J Drugowitsch
Proceedings of the National Academy of Sciences 117 (39), 24581-24589, 2020
32020
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
32013
Neural Networks as Sources of uncorrelated Noise for functional neuralSystems
J Jordan, I Bytschok, T Tetzlaff, T Pfeil, O Breitwieser, J Bill, M Diesmann, ...
INM Retreat 2014, 2014
22014
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), 1-2, 2015
12015
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Articles 1–20