Michael W. Spratling

Cognitive Neuroscience · 1996–2017

A researcher in the Science corpus: 5 papers; trusts 43 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Michael W. Spratling trusts overall

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

  1. Karl J. Friston
  2. Rajesh P. N. Rao
  3. Daniel D. Lee
  4. David Mumford
  5. David J. Heeger
  6. John G. Daugman
  7. Gustavo Deco
  8. John H. Reynolds
  9. Peter Corke
  10. Dana H. Ballard

Who trusts Michael W. Spratling overall

  1. Jorie Koster-Hale
  2. Georg B. Keller
  3. Frederik Beuth
  4. Floris P. de Lange
  5. Catherine Wacongne
  6. Nora Nortmann
  7. Peter Kok
  8. Rebecca Saxe
  9. Thomas D. Mrsic-Flogel
  10. Fred Henrik Hamker

Papers from Michael W. Spratling's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Going deeper with convolutions
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers