Lionel C. Barnett

Cognitive Neuroscience · 2009–2015

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 33 citations into it; #1,168 of 10,852 by trust here, #3,702 by citations
• Artificial Intelligence — 15 citations into it
• Signal Processing — 10 citations into it
• Economics and Econometrics — 9 citations into it
• Statistics and Probability — 7 citations into it; #5,776 of 12,932 by trust here, #6,853 by citations
• Causal Inference & Discovery — 6 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it

Whom Lionel C. Barnett trusts overall

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

1. Anil K. Seth
2. Tomás Cipra
3. Helmut Ltkepohl
4. Bernard Walter Silverman
5. Mingzhou Ding
6. Partha P. Mitra
7. Yonghong Chen
8. Thomas Schreiber
9. M. Dhamala
10. Karl J. Friston

Who trusts Lionel C. Barnett overall

1. Anil K. Seth
2. Joseph Troy Lizier
3. K. Schindlerova
4. Patrick A. Stokes
5. André Moraes Bastos
6. Marie C. McGraw
7. Steven L. Bressler
8. Karl J. Friston
9. Wenxu Wang
10. Timo van Kerkoerle

Papers from Lionel C. Barnett's perspective

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

1. Mapping directed influence over the brain using Granger causality and fMRI (NeuroImage)
2. Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment (Biological cybernetics)
3. Measuring information transfer
4. Independent Component Analysis
5. Frequency decomposition of conditional Granger causality and application to multivariate neural field potential data. (Journal of Neuroscience Methods)
6. Granger causality and transfer entropy are equivalent for Gaussian variables. (Physical Review Letters)
7. Observed Brain Dynamics
8. Density Estimation for Statistics and Data Analysis
9. A MATLAB toolbox for Granger causal connectivity analysis. (Journal of Neuroscience Methods)
10. Statistical Analysis of Time Series

Their papers

• The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference. (2014) — 973 citations
• Granger Causality Analysis in Neuroscience and Neuroimaging (2015) — 850 citations
• Granger causality and transfer entropy are equivalent for Gaussian variables. (2009) — 1,071 citations