Bayesian Optimisation of Large-Scale Biophysical Networks.

ABSTRACT: The relationship between structure and function in the human brain is well established, but not yet well characterised. Large-scale biophysical models allow us to investigate this relationship, by leveraging structural information (e.g. derived from diffusion tractography) in order to couple dynamical models of local neuronal activity into networks of interacting regions distributed across the cortex. In practice however, these models are difficult to parametrise, and their simulation is often delicate and computationally expensive. This undermines the experimental aspect of scientific modelling, and stands in the way of comparing different parametrisations, network architectures, or models in general, with confidence. Here, we advocate the use of Bayesian optimisation for assessing the ca

SUBMITTER: Hadida J 

PROVIDER: S-EPMC6324723 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature