A spatial framework for multi-scale computational neuroanatomy

A framework for multi-scale modelling.

We review a methodology to design, implement and execute multi-scale and multi-science numerical simulations. We identify important ingredients of multi-scale modelling and give a precise definition of them. Our framework assumes that a multi-scale model can be formulated in terms of a collection of coupled single-scale submodels. With concepts such as the scale separation map, the generic subm...

Multi-level neuron and network modeling in computational neuroanatomy

Rolf Kötter1,2, Pernille Nielsen3, Jonas Dyhrfjeld-Johnsen1,4, Friedrich T. Sommer5, Georg Northoff6 C. & O. Vogt Brain Research Institute; Institute of Anatomy II; Institute of Neurophysiology, Heinrich Heine University, Düsseldorf, Germany. Niels Bohr Institute of Astrophysics, Physics & Geophysics, University of Copenhagen, Denmark. Dept. of Neural Information Processing, University of Ulm, ...

A Computational Framework for Multi-Scale Simulations of Weakly Ionized Plasmas

A multi-scale framework for multi-phase equilibrium flash

A general multi-scale framework for multi-component, multi-phase equilibrium flash calculations, which uses information at the molecular and bulk fluid length scales, is described. The multi-scale Gibbs–Helmholtz constrained (GHC) EOS approach of Lucia (2010) is extended to include the use of (1) coarse grained NTP Monte Carlo simulations to gather pure component internal energies of departure,...

A Conceptual Framework for Multi-scale Cellular Modeling of Spatial Change

The use of cellular models for simulating spatial change phenomena has been a subject of intensive theoretical and applied research for the last two decades. This type of models was developed during the 1940s to devise mathematical rules for the evolution of biological systems. They were introduced in urban geography by Waldo Tobler in the 1970s because of their spatial structure and their abil...