Lionel Rigoux

Cognitive Neuroscience · 2014

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Lionel Rigoux trusts overall

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

  1. Karl J. Friston
  2. W. D. Penny
  3. Klaas E. Stephan
  4. Jean Daunizeau
  5. Matthew J. Beal
  6. Lee M. Harrison

Who trusts Lionel Rigoux overall

  1. Marie Devaine
  2. Jean Daunizeau
  3. Guillaume Hollard

Papers from Lionel Rigoux's perspective

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

  1. Variational algorithms for approximate Bayesian inference
  2. Bayesian Model Selection for Group Studies (NeuroImage)
  3. Dynamic causal modelling: A critical review of the biophysical and statistical foundations (NeuroImage)
  4. Comparing Families of Dynamic Causal Models (PLoS Comput. Biol.)
  5. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  6. The Bayesian choice : from decision-theoretic foundations to computational implementation
  7. Nonlinear Dynamic Causal Models for fMRI (NeuroImage)
  8. Information Theory, Inference, and Learning Algorithms
  9. Variational free energy and the Laplace approximation
  10. Dynamic causal modelling

Their papers