TY  - JOUR
N1  - © 2014 Pinotsis and Friston; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons
Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly credited.
VL  - 2
AV  - public
Y1  - 2014/05/09/
TI  - Extracting novel information from neuroimaging data using neural fields
KW  - Neural field theory; Dynamic causal modelling; Attention; Connectivity; Gamma oscillations; V1; Electrocorticography; Visual cortex; Electrophysiology
A1  - Pinotsis, DA
A1  - Friston, KJ
JF  - EPJ Nonlinear Biomedical Physics
UR  - http://dx.doi.org/10.1140/epjnbp18
ID  - discovery1418676
N2  - 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.
ER  -