Nicole C. Rust

Cognitive Neuroscience · 2002–2026

A researcher in the Science corpus: 8 papers; trusts 36 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Nicole C. Rust trusts overall

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

  1. David J. Heeger
  2. Liam Paninski
  3. Davide Zoccolan
  4. Eero P. Simoncelli
  5. Tomaso A. Poggio
  6. Matteo Carandini
  7. Javier Portilla
  8. Scott L. Brincat
  9. James J. DiCarlo
  10. Chou P. Hung

Who trusts Nicole C. Rust overall

  1. Minjoon Kouh
  2. Daniel L. K. Yamins
  3. Tomaso A. Poggio
  4. Matteo Carandini
  5. Charles F. Cadieu
  6. Ha Hong
  7. Valerio Mante
  8. Odelia Schwartz
  9. David Raposo
  10. Kalpana Seshadrinathan

Papers from Nicole C. Rust's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Hierarchical models of object recognition in cortex
  7. Linearity and Normalization in Simple Cells of the Macaque Primary Visual Cortex
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers