Alard Roebroeck
Cognitive Neuroscience · 2003–2011
A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 23 citations into it; #979 of 10,852 by trust here, #2,220 by citations
- Signal Processing — 8 citations into it
- Statistics and Probability — 6 citations into it
Whom Alard Roebroeck trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Clive W. J. Granger
- Karl J. Friston
- Rainer Goebel
- Christopher R. Genovese
- Maciej Kaminski
- Mingzhou Ding
- W. D. Penny
- Andrea Brovelli
- Lee M. Harrison
- Klaas E. Stephan
Who trusts Alard Roebroeck overall
- Karl J. Friston
- Olaf Sporns
- Devarajan Sridharan
- Lucina Q. Uddin
- Stefan Haufe
- Baxter P. Rogers
- Anil K. Seth
- Stephen M. Smith
- Russell A. Poldrack
- Yonghong Chen
Papers from Alard Roebroeck's perspective
Ordered by how strongly the researchers Alard Roebroeck trusts endorse each paper. Same corpus, a different order for every researcher.
- Investigating causal relations by econometric models and cross-spectral methods
- Dynamic causal modelling
- Attentional modulation of effective connectivity from V2 to V5/MT in humans.
- Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. (Magnetic Resonance Imaging)
- 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)
- Partial directed coherence: a new concept in neural structure determination (Biological cybernetics)
- Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance (Biological cybernetics)
- Mapping directed influence over the brain using Granger causality and fMRI (NeuroImage)
- Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate (NeuroImage)
- Neurophysiological investigation of the basis of the fMRI signal (Nature)
Their papers
- Effective connectivity: Influence, causality and biophysical modeling (2011) — 400 citations
- Mapping directed influence over the brain using Granger causality and fMRI (2005) — 1,085 citations
- Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. (2003) — 728 citations