Sophie Schwartz

Cognitive Neuroscience · 2005–2012

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sophie Schwartz trusts overall

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

  1. Giulio Tononi
  2. Nicholas D. Schiff
  3. John-Dylan Haynes
  4. Karl J. Friston
  5. Jerome H. Friedman
  6. João Gama
  7. Marc Jeannerod
  8. Maurizio Corbetta
  9. Antoine Del Cul
  10. R. J. Dolan

Who trusts Sophie Schwartz overall

  1. Bernard J. Baars

Papers from Sophie Schwartz's perspective

Ordered by how strongly the researchers Sophie Schwartz 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. 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)
  3. Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex (Science)
  4. Cognitive and emotional influences in anterior cingulate cortex. (Trends in Cognitive Sciences)
  5. Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex (NeuroImage)
  6. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
  7. Decoding the visual and subjective contents of the human brain (Nature Neuroscience)
  8. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain (NeuroImage)
  9. Breakdown of functional connectivity in frontoparietal networks underlies behavioral deficits in spatial neglect. (Neuron)
  10. Controlling the false discovery rate: a practical and powerful approach to multiple testing

Their papers