Michael Hanke

Cognitive Neuroscience · 2009–2016

A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Hanke trusts overall

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

  1. John-Dylan Haynes
  2. Vladimir Naumovich Vapni
  3. Robert E. Schapire
  4. Nikolaus Kriegeskorte
  5. James V. Haxby
  6. Isabelle M Guyon
  7. K. Jarrod Millman
  8. Geraint E. Rees
  9. Sören Sonnenburg
  10. Kenneth A. Norman

Who trusts Michael Hanke overall

  1. James V. Haxby
  2. Gaël Varoquaux
  3. Andrew C. Connolly
  4. Segundo Jose Guzman
  5. J. Swaroop Guntupalli
  6. David Berron
  7. Jessica Schrouff
  8. Alexandre Abraham

Papers from Michael Hanke's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex (NeuroImage)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex (Science)
  7. An Introduction to Variable and Feature Selection
  8. Decoding the visual and subjective contents of the human brain (Nature Neuroscience)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers