V. Cheung

Cognitive Neuroscience · 2006–2013

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom V. Cheung trusts overall

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

  1. Daniel D. Lee
  2. Lena H. Ting
  3. Anthony J. Bell
  4. Andrea d'Avella
  5. Tom Minka
  6. Tamar Flash
  7. Matthew C. Tresch
  8. Terrence J. Sejnowski
  9. Emilio Bizzi
  10. Sam T. Roweis

Who trusts V. Cheung overall

  1. Emilio Bizzi
  2. Mark L. Latash
  3. Andrea d'Avella
  4. Germana Cappellini

Papers from V. Cheung's perspective

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

  1. Learning the parts of objects by non-negative matrix factorization
  2. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
  3. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
  4. Probabilistic Principal Component Analysis
  5. The "independent components" of natural scenes are edge filters.
  6. Combinations of muscle synergies in the construction of a natural motor behavior
  7. Independent component analysis: algorithms and applications
  8. A limited set of muscle synergies for force control during a postural task. (Journal of Neurophysiology)
  9. Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets. (Journal of Neurophysiology)
  10. Generalization in vision and motor control (Nature)

Their papers