Eric Mjolsness
Affiliations: | University of California, Irvine, Irvine, CA |
Area:
Computer ScienceGoogle:
"Eric Mjolsness"Children
Sign in to add trainee| Guy Yosiphon | grad student | 2009 | UC Irvine |
| Behnam Compani-Tabrizi | grad student | 2012 | UC Irvine |
| David Orendorff | grad student | 2012 | UC Irvine |
| Cory Scott | grad student | 2015-2021 | UC Irvine |
| Oliver Ernst | grad student | 2016-2021 | UCSD, Salk |
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Publications
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| Medwedeff E, Mjolsness E. (2023) Approximate simulation of cortical microtubule models using dynamical graph grammars. Physical Biology |
| Keating SM, Waltemath D, König M, et al. (2020) SBML Level 3: an extensible format for the exchange and reuse of biological models. Molecular Systems Biology. 16: e9110 |
| Mjolsness E. (2020) Operator Algebras for Dynamic Topology Models of Cytoskeleton Biophysical Journal. 118 |
| Ernst OK, Bartol TM, Sejnowski TJ, et al. (2019) Learning moment closure in reaction-diffusion systems with spatial dynamic Boltzmann distributions. Physical Review. E. 99: 063315 |
| Mjolsness E. (2019) Prospects for Declarative Mathematical Modeling of Complex Biological Systems. Bulletin of Mathematical Biology |
| Shapiro BE, Mjolsness E. (2019) A Pycellerator Tutorial. Methods in Molecular Biology (Clifton, N.J.). 1945: 1-32 |
| Scott CB, Mjolsness E. (2019) Multilevel Artificial Neural Network Training for Spatially Correlated Learning Siam Journal On Scientific Computing. 41: S297-S320 |
| Mjolsness E, Ernst OK, Bartol TM, et al. (2019) Some Prospects for Artificial Intelligence (Both Numeric and Symbolic) in Multiscale Biophysics Biophysical Journal. 116: 323a |
| Ernst OK, Bartol T, Sejnowski T, et al. (2018) Learning dynamic Boltzmann distributions as reduced models of spatial chemical kinetics. The Journal of Chemical Physics. 149: 034107 |
| Shapiro BE, Mjolsness E. (2016) Pycellerator: an arrow-based reaction-like modelling language for biological simulations. Bioinformatics (Oxford, England). 32: 629-31 |