Embedding Task-Based Neural Models into a Connectome-Based Model of the Cerebral Cortex.

ABSTRACT: A number of recent efforts have used large-scale, biologically realistic, neural models to help understand the neural basis for the patterns of activity observed in both resting state and task-related functional neural imaging data. An example of the former is The Virtual Brain (TVB) software platform, which allows one to apply large-scale neural modeling in a whole brain framework. TVB provides a set of structural connectomes of the human cerebral cortex, a collection of neural processing units for each connectome node, and various forward models that can convert simulated neural activity into a variety of functional brain imaging signals. In this paper, we demonstrate how to embed a previously or newly constructed task-based large-scale neural model into the TVB platform. We tested our m

SUBMITTER: Ulloa A 

PROVIDER: S-EPMC4971081 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature