1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CE2024★ 1 cited
Calibration of stochastic, agent-based neuron growth models with Approximate Bayesian Computation
Tobias Duswald, Lukas Breitwieser, Thomas Thorne +2
Understanding how genetically encoded rules drive and guide complex neuronal growth processes is essential to comprehending the brain's architecture, and agent-based models (ABMs)…
q-bio.TO2023
Recipes for calibration and validation of agent-based models in cancer biomedicine
Nicolò Cogno, Cristian Axenie, Roman Bauer +1
Computational models and simulations are not just appealing because of their intrinsic characteristics across spatiotemporal scales, scalability, and predictive power, but also bec…