Jörg F. Hipp

2005

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Jörg F. Hipp trusts overall

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

  1. Pietro Berkes
  2. Laurenz Wiskott

Who trusts Jörg F. Hipp overall

  1. Pietro Berkes
  2. Leyla Isik

Papers from Jörg F. Hipp's perspective

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

  1. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
  2. Slow Feature Analysis: Unsupervised Learning of Invariances
  3. Slow feature analysis yields a rich repertoire of complex cell properties.
  4. Extracting Slow Subspaces from Natural Videos Leads to Complex Cells
  5. Recognition-by-components: a theory of human image understanding.
  6. Neural mechanisms of selective visual attention.
  7. A network that learns to recognize three-dimensional objects
  8. Recognition by Linear Combinations of Models
  9. Learning Optimized Features for Hierarchical Models of Invariant Object Recognition
  10. Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces

Their papers