📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Predicting haemodynamic networks using electrophysiology: The role of non-linear and cross-frequency interactions. (2016)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.neuroimage.2016.01.053

PubMed Identifier: 26827811

Publication URI: http://europepmc.org/abstract/MED/26827811

Type: Journal Article/Review

Volume: 130

Parent Publication: NeuroImage

ISSN: 1053-8119