Yannick Schwartz

Cognitive Neuroscience · 2012–2016

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yannick Schwartz trusts

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

  1. Eric R. Ziegel (in Statistics and Probability)
  2. Leo Breiman (in Evaluation & Benchmarks)
  3. J. Platt (in Statistical Learning Theory)
  4. James V. Haxby (in Cognitive Neuroscience)

Who trusts Yannick Schwartz

  1. Gaël Varoquaux (in Cognitive Neuroscience)

Papers from Yannick Schwartz's perspective

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

  1. Machine learning classifiers and fMRI: a tutorial overview
  2. Information-based functional brain mapping. (Proceedings of the National Academy of Sciences of the United States of America)
  3. Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex (Science)
  4. Neuroimaging: Decoding mental states from brain activity in humans (Nature Reviews Neuroscience)
  5. Decoding the visual and subjective contents of the human brain (Nature Neuroscience)
  6. Predicting Human Brain Activity Associated with the Meanings of Nouns (Science)
  7. Beyond mind-reading: multi-voxel pattern analysis of fMRI data. (Trends in Cognitive Sciences)
  8. ALE meta‐analysis: Controlling the false discovery rate and performing statistical contrasts (Human Brain Mapping)
  9. Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data
  10. Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python (Front. Neuroinform.)

Their papers