| 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 | 509 | 2011 |
| 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), 12611, 2016 | 377 | 2016 |
| A compound memristive synapse model for statistical learning through STDP in spiking neural networks J Bill, R Legenstein Frontiers in neuroscience 8, 412, 2014 | 125 | 2014 |
| 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 | 77 | 2016 |
| Stochastic inference with deterministic spiking neurons MA Petrovici, J Bill, I Bytschok, J Schemmel, K Meier arXiv preprint arXiv:1311.3211, 2013 | 49 | 2013 |
| 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, 2012 | 40 | 2012 |
| 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 | 39 | 2020 |
| 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 | 33 | 2015 |
| 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 | 32 | 2010 |
| 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 | 29 | 2015 |
| 25th annual computational neuroscience meeting: CNS-2016 TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ... BMC neuroscience 17, 1-112, 2016 | 27 | 2016 |
| 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 | 23 | 2017 |
| Human visual motion perception shows hallmarks of Bayesian structural inference S Yang, J Bill, J Drugowitsch, SJ Gershman Scientific reports 11 (1), 3714, 2021 | 21 | 2021 |
| 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 | 16 | 2010 |
| Visual motion perception as online hierarchical inference J Bill, SJ Gershman, J Drugowitsch Nature communications 13 (1), 7403, 2022 | 14 | 2022 |
| 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, 1-2, 2015 | 12 | 2015 |
| Self-stabilizing network architectures on a neuromorphic hardware system J Bill | 12 | 2008 |
| Causal inference during closed-loop navigation: parsing of self-and object-motion JP Noel, J Bill, H Ding, J Vastola, GC DeAngelis, DE Angelaki, ... Philosophical Transactions of the Royal Society B 378 (1886), 20220344, 2023 | 9 | 2023 |
| 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 2, 2016 | 9 | 2016 |
| Resonant quantum dynamics of neutral spin-1 particles in a magnetic guide J Bill, MI Trappe, I Lesanovsky, P Schmelcher Physical Review A—Atomic, Molecular, and Optical Physics 73 (5), 053609, 2006 | 8 | 2006 |
Karlheinz MeierRuprecht-Karls-Universität HeidelbergVerified email at kip.uni-heidelberg.de