Extracting novel information from neuroimaging data using neural fields
The Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London, WC1N 3BG, UK
* e-mail: firstname.lastname@example.org
Accepted: 31 March 2014
Published online: 9 May 2014
We showcase three case studies that illustrate how neural fields can be useful in the analysis of neuroimaging data. In particular, we argue that neural fields allow one to: (i) compare evidences for alternative hypotheses regarding neurobiological determinants of stimulus-specific response variability; (ii) make inferences about between subject variability in cortical function and microstructure using non-invasive data and (iii) estimate spatial parameters describing cortical sources, even without spatially resolved data.
Key words: Neural field theory / Dynamic causal modelling / Attention / Connectivity / Gamma oscillations / V1 / Electrocorticography / Visual cortex / Electrophysiology
© The Author(s), 2014