Jan Humplik
Tkacik Group
3 Publications
2022 | Journal Article | IST-REx-ID: 11638 | 
Ngampruetikorn, V., Sachdeva, V., Torrence, J., Humplik, J., Schwab, D. J., & Palmer, S. E. (2022). Inferring couplings in networks across order-disorder phase transitions. Physical Review Research. American Physical Society. https://doi.org/10.1103/PhysRevResearch.4.023240
[Published Version]
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| DOI
| arXiv
2017 | Journal Article | IST-REx-ID: 720 |
Humplik, J., & Tkačik, G. (2017). Probabilistic models for neural populations that naturally capture global coupling and criticality. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005763
[Published Version]
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| DOI
2014 | Journal Article | IST-REx-ID: 1928
Humplik, J., Hill, A., & Nowak, M. (2014). Evolutionary dynamics of infectious diseases in finite populations. Journal of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2014.06.039
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| DOI
3 Publications
2022 | Journal Article | IST-REx-ID: 11638 |
Ngampruetikorn, V., Sachdeva, V., Torrence, J., Humplik, J., Schwab, D. J., & Palmer, S. E. (2022). Inferring couplings in networks across order-disorder phase transitions. Physical Review Research. American Physical Society. https://doi.org/10.1103/PhysRevResearch.4.023240
[Published Version]
View
| Files available
| DOI
| arXiv
2017 | Journal Article | IST-REx-ID: 720 |
Humplik, J., & Tkačik, G. (2017). Probabilistic models for neural populations that naturally capture global coupling and criticality. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005763
[Published Version]
View
| Files available
| DOI
2014 | Journal Article | IST-REx-ID: 1928
Humplik, J., Hill, A., & Nowak, M. (2014). Evolutionary dynamics of infectious diseases in finite populations. Journal of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2014.06.039
View
| DOI