Tijl Grootswagers

Cognitive Neuroscience · 2016

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tijl Grootswagers trusts overall

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

  1. John-Dylan Haynes
  2. Michael X. Cohen
  3. Nikolaus Kriegeskorte
  4. K. Müller
  5. Matti S. Hämäläinen
  6. Yukiyasu Kamitani
  7. David D. Cox
  8. Yoav Benjamini
  9. Justin R. Chumbley
  10. Jean-Remi King

Papers from Tijl Grootswagers's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Decoding the visual and subjective contents of the human brain (Nature Neuroscience)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex (NeuroImage)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers