Ralf M. Häfner

Cognitive Neuroscience · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ralf M. Häfner trusts overall

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

  1. Aapo Hyvärinen
  2. William T. Freeman
  3. Nicole C. Rust
  4. Christoph Kayser
  5. Pietro Berkes
  6. Laurenz Wiskott
  7. Patrik O. Hoyer

Who trusts Ralf M. Häfner overall

  1. Dinesh Jayaraman
  2. Kristen Grauman
  3. Ross Goroshin

Papers from Ralf M. Häfner's perspective

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

  1. Slow Feature Analysis: Unsupervised Learning of Invariances
  2. Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces
  3. Slow feature analysis yields a rich repertoire of complex cell properties.
  4. Spatiotemporal elements of macaque v1 receptive fields.
  5. Extracting Slow Subspaces from Natural Videos Leads to Complex Cells
  6. Unsupervised Natural Visual Experience Rapidly Reshapes Size Invariant Object Representation in Inferior Temporal Cortex
  7. Unsupervised Natural Experience Rapidly Alters Invariant Object Representation in Visual Cortex
  8. The Design and Use of Steerable Filters
  9. A Structured Model of Video Reproduces Primary Visual Cortical Organisation
  10. Gradient-based learning applied to document recognition

Their papers