Alexa M. Morcom

Cognitive Neuroscience · 2007–2009

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Alexa M. Morcom trusts overall

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

  1. Marcus E. Raichle
  2. Mark Newman
  3. Karl J. Friston
  4. Christian F. Beckmann
  5. Roger Guimerà
  6. Nikos K. Logothetis
  7. David Attwell
  8. Konrad Paul Kording
  9. David J. Foster
  10. Abraham Z. Snyder

Who trusts Alexa M. Morcom overall

  1. Jessica R. Andrews-Hanna
  2. Jessica S. Damoiseaux
  3. Randy L. Buckner
  4. Olaf Sporns
  5. Bharat B. Biswal
  6. D. Bassett
  7. Kaustubh Supekar
  8. E. Bullmore
  9. Marcus E. Raichle
  10. Jay S. Reidler

Papers from Alexa M. Morcom's perspective

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

  1. Cortical networks for working memory and executive functions sustain the conscious resting state in man. (Brain Research Bulletin)
  2. Searching for a baseline: Functional imaging and the resting human brain (Nature Reviews Neuroscience)
  3. Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
  4. Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory (Journal of Neuroscience)
  5. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain (NeuroImage)
  6. A default mode of brain function.
  7. Finding community structure in very large networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  8. A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs (Journal of Neuroscience)
  9. The neural basis of functional brain imaging signals. (Trends in Neurosciences)
  10. Cartography of complex networks: modules and universal roles (Journal of statistical mechanics)

Their papers