Richard S. J. Frackowiak

Cognitive Neuroscience · 1993–2016

A researcher in the Science corpus: 24 papers; trusts 10 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Richard S. J. Frackowiak trusts overall

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

  1. John Ashburner
  2. Karl J. Friston
  3. Ralph Linsker
  4. Matthew Brett

Who trusts Richard S. J. Frackowiak overall

  1. Karl J. Friston
  2. Keith J. Worsley
  3. John-Dylan Haynes
  4. Bilwaj Gaonkar
  5. Christian Gaser
  6. Mark D'Esposito
  7. Christos Davatzikos
  8. Ellen Bialystok
  9. Ze Wang
  10. Peter Fransson

Papers from Richard S. J. Frackowiak's perspective

Ordered by how strongly the researchers Richard S. J. Frackowiak trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Voxel-based morphometry--the methods.
  2. Spatial Normalization of Brain Images with Focal Lesions Using Cost Function Masking (NeuroImage)
  3. A voxel-based morphometric study of ageing in 465 normal adult human brains (5th IEEE EMBS International Summer School on Biomedical Imaging, 2002.)
  4. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity (Magnetic Resonance in Medicine)
  5. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  6. Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo (Magnetic Resonance in Medicine)
  7. Classical and Bayesian Inference in Neuroimaging: Applications (NeuroImage)
  8. Reward-Related Cortical Inputs Define a Large Striatal Region in Primates That Interface with Associative Cortical Connections, Providing a Substrate for Incentive-Based Learning (Journal of Neuroscience)
  9. Toward a modern theory of adaptive networks: expectation and prediction.
  10. Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging (Nature Neuroscience)

Their papers