Erik B. Erhardt

Cognitive Neuroscience · 2010–2014

A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Erik B. Erhardt trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Christian F. Beckmann
  2. Vince D. Calhoun
  3. Stephen M. Smith
  4. Aapo Hyvärinen
  5. T. Adalı
  6. J. Moore
  7. Johan Himberg
  8. Stan Lipovetsky
  9. Yi-Ou Li
  10. Anthony J. Bell

Who trusts Erik B. Erhardt overall

  1. Elena A. Allen
  2. Eswar Damaraju
  3. Vince D. Calhoun
  4. D. Phillips
  5. Barnaly Rashid
  6. Theodore D. Satterthwaite
  7. Yuhui Du
  8. Richard Inger
  9. Mohammad R. Arbabshirani

Papers from Erik B. Erhardt's perspective

Ordered by how strongly the researchers Erik B. Erhardt trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function (Proceedings of the National Academy of Sciences of the United States of America)
  2. Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
  3. Validating the independent components of neuroimaging time series via clustering and visualization (NeuroImage)
  4. A method for making group inferences from functional MRI data using independent component analysis (Human Brain Mapping)
  5. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
  6. Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
  7. The resting brain: unconstrained yet reliable. (Cerebral Cortex)
  8. The global signal and observed anticorrelated resting state brain networks. (Journal of Neurophysiology)
  9. Correspondence of the brain's functional architecture during activation and rest
  10. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI (Proc. Natl. Acad. Sci. USA)

Their papers