Andrew J. Quinn
Cognitive Neuroscience · 2016–2017
A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 100 citations into it; #9,140 of 10,852 by trust here, #5,990 by citations
- Radiology, Nuclear Medicine and Imaging — 21 citations into it
- Statistics and Probability — 7 citations into it
- Signal Processing — 6 citations into it
Whom Andrew J. Quinn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephen M. Smith
- Radford M. Neal
- Lawrence R. Rabiner
- Cornelis J. Stam
- Guido Nolte
- Matthew J. Brookes
- Christian F. Beckmann
- Eric Maris
- Helmut Ltkepohl
- Pascal Fries
Who trusts Andrew J. Quinn overall
Papers from Andrew J. Quinn's perspective
Ordered by how strongly the researchers Andrew J. Quinn trusts endorse each paper. Same corpus, a different order for every researcher.
- Identifying true brain interaction from EEG data using the imaginary part of coherency. (Clinical Neurophysiology)
- Phase lag index: Assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources (Human Brain Mapping)
- Partial directed coherence: a new concept in neural structure determination (Biological cybernetics)
- Correspondence of the brain's functional architecture during activation and rest
- Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease (Brain : a journal of neurology)
- Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
- Source connectivity analysis with MEG and EEG (Human Brain Mapping)
- Pattern Recognition and Machine Learning
- The Brain's Default Network (Annals of the New York Academy of Sciences)
- A Stochastic Approximation Method
Their papers
- Discovering dynamic brain networks from big data in rest and task (2017) — 355 citations
- Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks (2017) — 356 citations
- Spectrally resolved fast transient brain states in electrophysiological data (2016) — 381 citations
- How reliable are MEG resting-state connectivity metrics? (2016) — 397 citations