Synthetic neuronal datasets for benchmarking directed functional connectivity metrics.

ABSTRACT: Background. Datasets consisting of synthetic neural data generated with quantifiable and controlled parameters are a valuable asset in the process of testing and validating directed functional connectivity metrics. Considering the recent debate in the neuroimaging community concerning the use of these metrics for fMRI data, synthetic datasets that emulate the BOLD signal dynamics have played a central role by supporting claims that argue in favor or against certain choices. Generative models often used in studies that simulate neuronal activity, with the aim of gaining insight into specific brain regions and functions, have different requirements from the generative models for benchmarking datasets. Even though the latter must be realistic, there is a tradeoff between realism and computati

SUBMITTER: Rodrigues J 

PROVIDER: S-EPMC4435472 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature