Patrick L. Purdon

Cognitive Neuroscience · 2013–2023

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Patrick L. Purdon trusts overall

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

  1. Thomas Schreiber
  2. Helmut Ltkepohl
  3. Lionel C. Barnett
  4. Arnaud Delorme
  5. Anil K. Seth
  6. Emery N. Brown
  7. Scott Makeig

Who trusts Patrick L. Purdon overall

  1. Marie C. McGraw
  2. Elizabeth A. Barnes

Papers from Patrick L. Purdon's perspective

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

  1. Measuring information transfer
  2. Mapping directed influence over the brain using Granger causality and fMRI (NeuroImage)
  3. Granger causality and transfer entropy are equivalent for Gaussian variables. (Physical Review Letters)
  4. Beta oscillations in a large-scale sensorimotor cortical network: directional influences revealed by Granger causality. (Proceedings of the National Academy of Sciences of the United States of America)
  5. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. (Journal of Neuroscience Methods)
  6. A novel slow (< 1 Hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components
  7. The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference. (Journal of Neuroscience Methods)
  8. Partial directed coherence: a new concept in neural structure determination (Biological cybernetics)
  9. Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance (Biological cybernetics)
  10. New Introduction to Multiple Time Series Analysis

Their papers