Stefan Debener

Cognitive Neuroscience · 2000–2015

A researcher in the Science corpus: 9 papers; trusts 28 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Stefan Debener trusts overall

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

  1. Scott Makeig
  2. Arnaud Delorme
  3. Anthony J. Bell
  4. Markus Ullsperger
  5. Michael D. Greicius
  6. Aapo Hyvärinen
  7. Marcus E. Raichle
  8. Terrence J. Sejnowski
  9. Michael D. Fox
  10. Nikos K. Logothetis

Who trusts Stefan Debener overall

  1. Julie Anne Onton
  2. Hiroshi Shibasaki
  3. Markus Ullsperger
  4. Brian J. Roach
  5. Cameron S. Carter
  6. Stephen M. Fleming
  7. F. C. Viola
  8. Soo-Young Lee
  9. Seungjin Choi
  10. Arnaud Delorme

Papers from Stefan Debener's perspective

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

  1. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
  2. 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)
  3. Removing electroencephalographic artifacts by blind source separation. (Psychophysiology)
  4. Control of goal-directed and stimulus-driven attention in the brain
  5. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis (Proceedings of the National Academy of Sciences of the United States of America)
  6. Spontaneous low‐frequency BOLD signal fluctuations: An fMRI investigation of the resting‐state default mode of brain function hypothesis (Human Brain Mapping)
  7. Mining event-related brain dynamics. (Trends in Cognitive Sciences)
  8. Independent component approach to the analysis of EEG and MEG recordings (IEEE Transactions on Biomedical Engineering)
  9. Searching for a baseline: Functional imaging and the resting human brain (Nature Reviews Neuroscience)
  10. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI (Proc. Natl. Acad. Sci. USA)

Their papers