Yu Huang

Cognitive Neuroscience · with Bikson · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Huang trusts overall

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

  1. Karl J. Friston
  2. Stephen M. Smith
  3. Axel Thielscher
  4. Andre Antunes

Who trusts Yu Huang overall

  1. Justin Riddle
  2. Morgan L. Alexander

Papers from Yu Huang's perspective

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

  1. Fast robust automated brain extraction
  2. Statistical Parametric Mapping The Analysis Of Functional Brain Images
  3. Field modeling for transcranial magnetic stimulation: A useful tool to understand the physiological effects of TMS? (Annual International Conference of the IEEE Engineering in Medicine and Biology Society)
  4. CHAPTER 2 – Statistical parametric mapping
  5. Voxel-based morphometry--the methods.
  6. Bayesian Estimation of Dynamical Systems: An Application to fMRI (NeuroImage)
  7. Comparing dynamic causal models (NeuroImage)
  8. To Smooth or Not to Smooth?: Bias and Efficiency in fMRI Time-Series Analysis
  9. Variational free energy and the Laplace approximation
  10. Neural networks for pattern recognition

Their papers