Year |
Citation |
Score |
2023 |
Noel JP, Bill J, Ding H, Vastola J, DeAngelis GC, Angelaki DE, Drugowitsch J. Causal inference during closed-loop navigation: parsing of self- and object-motion. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 378: 20220344. PMID 37545300 DOI: 10.1098/rstb.2022.0344 |
0.678 |
|
2023 |
Noel JP, Bill J, Ding H, Vastola J, DeAngelis GC, Angelaki DE, Drugowitsch J. Causal inference during closed-loop navigation: parsing of self- and object-motion. Biorxiv : the Preprint Server For Biology. PMID 36778376 DOI: 10.1101/2023.01.27.525974 |
0.677 |
|
2022 |
Bill J, Gershman SJ, Drugowitsch J. Visual motion perception as online hierarchical inference. Nature Communications. 13: 7403. PMID 36456546 DOI: 10.1038/s41467-022-34805-5 |
0.733 |
|
2021 |
Yang S, Bill J, Drugowitsch J, Gershman SJ. Human visual motion perception shows hallmarks of Bayesian structural inference. Scientific Reports. 11: 3714. PMID 33580096 DOI: 10.1038/s41598-021-82175-7 |
0.721 |
|
2020 |
Bill J, Pailian H, Gershman SJ, Drugowitsch J. Hierarchical structure is employed by humans during visual motion perception. Proceedings of the National Academy of Sciences of the United States of America. 117: 24581-24589. PMID 32938799 DOI: 10.1073/Pnas.2008961117 |
0.723 |
|
2019 |
Bill J, Pailian H, Gershman SJ, Drugowitsch J. Hierarchical motion structure is employed by humans during visual perception Journal of Vision. 19: 282. DOI: 10.1167/19.10.282 |
0.7 |
|
2016 |
Petrovici MA, Bill J, Bytschok I, Schemmel J, Meier K. Stochastic inference with spiking neurons in the high-conductance state. Physical Review. E. 94: 042312. PMID 27841474 DOI: 10.1103/Physreve.94.042312 |
0.447 |
|
2016 |
Serb A, Bill J, Khiat A, Berdan R, Legenstein R, Prodromakis T. Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses. Nature Communications. 7: 12611. PMID 27681181 DOI: 10.1038/Ncomms12611 |
0.603 |
|
2016 |
Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Bill J, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6 |
0.342 |
|
2015 |
Bill J, Buesing L, Habenschuss S, Nessler B, Maass W, Legenstein R. Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition. Plos One. 10: e0134356. PMID 26284370 DOI: 10.1371/Journal.Pone.0134356 |
0.639 |
|
2015 |
Probst D, Petrovici MA, Bytschok I, Bill J, Pecevski D, Schemmel J, Meier K. Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons. Frontiers in Computational Neuroscience. 9: 13. PMID 25729361 DOI: 10.3389/Fncom.2015.00013 |
0.49 |
|
2015 |
Probst D, Petrovici M, Bytschok I, Bill J, Pecevski D, Schemmel J, Meier K. Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons Frontiers in Computational Neuroscience. 9. DOI: 10.3389/fncom.2015.00013 |
0.49 |
|
2015 |
Jordan J, Tetzlaff T, Petrovici M, Breitwieser O, Bytschok I, Bill J, Schemmel J, Meier K, Diesmann M. Deterministic neural networks as sources of uncorrelated noise for probabilistic computations Bmc Neuroscience. 16: P62. DOI: 10.1186/1471-2202-16-S1-P62 |
0.422 |
|
2015 |
Petrovici MA, Bytschok I, Bill J, Schemmel J, Meier K. The high-conductance state enables neural sampling in networks of LIF neurons Bmc Neuroscience. 16: 1-2. DOI: 10.1186/1471-2202-16-S1-O2 |
0.451 |
|
2014 |
Bill J, Legenstein R. A compound memristive synapse model for statistical learning through STDP in spiking neural networks. Frontiers in Neuroscience. 8: 412. PMID 25565943 DOI: 10.3389/fnins.2014.00412 |
0.606 |
|
2010 |
Bill J, Schuch K, Brüderle D, Schemmel J, Maass W, Meier K. Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity. Frontiers in Computational Neuroscience. 4: 129. PMID 21031027 DOI: 10.3389/Fncom.2010.00129 |
0.465 |
|
2010 |
Brüderle D, Bill J, Kaplan B, Kremkow J, Meier K, Müller E, Schemmel J. Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system Iscas 2010 - 2010 Ieee International Symposium On Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 2784-2787. DOI: 10.1109/ISCAS.2010.5537005 |
0.394 |
|
2010 |
Brüderle D, Bill J, Kaplan B, Kremkow J, Meier K, Müller E, Schemmel J. Live demonstration: Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system Iscas 2010 - 2010 Ieee International Symposium On Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 2783. DOI: 10.1109/ISCAS.2010.5537004 |
0.396 |
|
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