139 citations · 512 across the 17 of their papers we have counts for
17 papers
Oncomorphic neural agent populations for resource-limited sequential learning
Philip Greulich, Michael Levin, Rosalia Moreddu
Distributed artificial intelligence (AI) often operates under sequential task exposure, uneven compute, and decentralized coordination. Here, we present a cancer-inspired, or oncom…
Cooperative SIR dynamics as a model for spontaneous blood clot initiation
Philip Greulich
Blood clotting is an important physiological process to suppress bleeding upon injury, but when it occurs inadvertently, it can cause thrombosis, which can lead to life threatening…
Homeostatic regulation of renewing tissue cell populations via crowding control
Cristina Parigini, Philip Greulich
To maintain renewing epithelial tissues in a healthy, homeostatic state, (stem) cell divisions and differentiation need to be tightly regulated. Mechanisms of homeostatic control o…
Stability and steady state of complex cooperative systems: a diakoptic approach
Philip Greulich, Benjamin D. MacArthur, Cristina Parigini +1
Cooperative dynamics are common in ecology and population dynamics. However, their commonly high degree of complexity with a large number of coupled degrees of freedom renders them…
Totally asymmetric exclusion process with site-wise dynamic disorder
Bartlomiej Waclaw, Justyna Cholewa-Waclaw, Philip Greulich
We propose an extension of the totally asymmetric simple exclusion process (TASEP) in which particles hopping along a lattice can be blocked by obstacles that dynamically attach/de…
Extreme value statistics of mutation accumulation in renewing cell populations
Philip Greulich, Benjamin D. Simons
The emergence of a predominant phenotype within a cell population is often triggered by a rare accumulation of DNA mutations in a single cell. For example, tumors may be initiated…