Johannes Bill
Affiliations: | Harvard Medical School, Boston, MA, United States |
Area:
Computational neuroscience, computational cognitive science, neuromorphic engineeringGoogle:
"Johannes Bill"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Karlheinz Meier | research assistant | |||
| (Diploma thesis in physics) | ||||
| Robert Legenstein | grad student | |||
| Jan Drugowitsch | post-doc | |||
| Samuel Gershman | post-doc | |||
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Publications
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| Noel JP, Bill J, Ding H, et al. (2023) 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 |
| Noel JP, Bill J, Ding H, et al. (2023) Causal inference during closed-loop navigation: parsing of self- and object-motion. Biorxiv : the Preprint Server For Biology |
| Bill J, Gershman SJ, Drugowitsch J. (2022) Visual motion perception as online hierarchical inference. Nature Communications. 13: 7403 |
| Yang S, Bill J, Drugowitsch J, et al. (2021) Human visual motion perception shows hallmarks of Bayesian structural inference. Scientific Reports. 11: 3714 |
| Bill J, Pailian H, Gershman SJ, et al. (2020) 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 |
| Bill J, Pailian H, Gershman SJ, et al. (2019) Hierarchical motion structure is employed by humans during visual perception Journal of Vision. 19: 282 |
| Petrovici MA, Bill J, Bytschok I, et al. (2016) Stochastic inference with spiking neurons in the high-conductance state. Physical Review. E. 94: 042312 |
| Serb A, Bill J, Khiat A, et al. (2016) Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses. Nature Communications. 7: 12611 |
| Sharpee TO, Destexhe A, Kawato M, et al. (2016) 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54 |
| Bill J, Buesing L, Habenschuss S, et al. (2015) Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition. Plos One. 10: e0134356 |