Thomas Naselaris

Cognitive Neuroscience · 2008–2021

A researcher in the Science corpus: 7 papers; trusts 32 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Naselaris trusts overall

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

  1. Kendrick Norris Kay
  2. John-Dylan Haynes
  3. Yukiyasu Kamitani
  4. Radford M. Neal
  5. Karl J. Friston
  6. Bertrand Thirion
  7. Serge O. Dumoulin
  8. David D. Cox
  9. Frank Tong
  10. Geraint E. Rees

Who trusts Thomas Naselaris overall

  1. John-Dylan Haynes
  2. Nikolaus Kriegeskorte
  3. Martin N. Hebart
  4. James V. Haxby
  5. Michelle Moerel
  6. Shinji Nishimoto
  7. Alexander G. Huth
  8. Haiguang Wen
  9. Jörn Diedrichsen
  10. Russell A. Poldrack

Papers from Thomas Naselaris's perspective

Ordered by how strongly the researchers Thomas Naselaris 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Microsoft COCO: Common Objects in Context
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers