Matthew Chalk

Cognitive Neuroscience · 2016–2017

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

Subfields

Whom Matthew Chalk trusts overall

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

  1. Noam Slonim
  2. A. U.S.
  3. Barbara Olshausen
  4. Olivier Marre
  5. David Roi Hardoon
  6. David J. Field
  7. Eero P. Simoncelli
  8. Naftali Tishby
  9. Gal Chechik
  10. William Bialek

Who trusts Matthew Chalk overall

  1. Adar Elad
  2. Ishmael Belghazi
  3. Jan Humplik
  4. Olivier Marre
  5. Sai Rajeswar
  6. Doron Haviv
  7. Alexandre Galashov
  8. Aristide Baratin

Papers from Matthew Chalk's perspective

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

  1. The "independent components" of natural scenes are edge filters.
  2. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
  3. Predictability , Complexity , and Learning
  4. Information Bottleneck for Gaussian Variables
  5. Efficient coding of natural sounds (Nature Neuroscience)
  6. Canonical Correlation Analysis: An Overview with Application to Learning Methods
  7. The Information Bottleneck : Theory and Applications
  8. Slow feature analysis yields a rich repertoire of complex cell properties.
  9. Some informational aspects of visual perception.
  10. Sparse coding of sensory inputs.

Their papers