Olivier David

Cognitive Neuroscience · 2003–2020

A researcher in the Science corpus: 11 papers; trusts 27 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 68 citations into it; #724 of 10,852 by trust here, #1,694 by citations
• Cellular and Molecular Neuroscience — 21 citations into it
• Radiology, Nuclear Medicine and Imaging — 11 citations into it; #1,199 of 3,265 by trust here, #2,400 by citations
• Statistical and Nonlinear Physics — 7 citations into it; #1,455 of 10,127 by trust here, #3,616 by citations
• Molecular Biology — 6 citations into it
• Artificial Intelligence — 5 citations into it
• Signal Processing — 5 citations into it; #3,349 of 7,572 by trust here, #5,340 by citations
• Statistics and Probability — 5 citations into it

Whom Olivier David trusts overall

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

1. Karl J. Friston
2. W. D. Penny
3. Sylvain Baillet
4. Mircea Steriade
5. Lee M. Harrison
6. Klaas E. Stephan
7. John C. Mosher
8. Emilio Salinas
9. Nicolas Fourcaud-Trocmé
10. Fabrice Bartolomei

Who trusts Olivier David overall

1. Karl J. Friston
2. Jean Daunizeau
3. Stefan J. Kiebel
4. Klaas E. Stephan
5. André C. Marreiros
6. Marta Isabel Garrido
7. D. Bassett
8. James M. Kilner
9. Jan-Mathijs Schoffelen
10. Torsten Baldeweg

Papers from Olivier David's perspective

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

1. Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses
2. Dynamic causal modelling
3. Nonlinear responses in fMRI: the Balloon model, Volterra kernels, and other hemodynamics. (NeuroImage)
4. Electromagnetic brain mapping (IEEE Signal Processing Magazine)
5. Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals (Biological cybernetics)
6. Variational algorithms for approximate Bayesian inference
7. The anatomical basis of functional localization in the cortex (Nature Reviews Neuroscience)
8. Comparing dynamic causal models (NeuroImage)
9. Bayesian Estimation of Dynamical Systems: An Application to fMRI (NeuroImage)
10. Inhibition-based rhythms: experimental and mathematical observations on network dynamics. (International Journal of Psychophysiology)

Their papers

• Probabilistic mapping of language networks from high frequency activity induced by direct electrical stimulation (2020)
• iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology (2019)
• IntrAnat Electrodes: A Free Database and Visualization Software for Intracranial Electroencephalographic Data Processed for Case and Group Studies (2018)
• Probabilistic functional tractography of the human cortex revisited (2018)
• Automatic bad channel detection in intracranial electroencephalographic recordings using ensemble machine learning (2017)
• Dynamic causal modelling: A critical review of the biophysical and statistical foundations (2011) — 322 citations
• Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization (2006) — 301 citations
• Mechanisms of evoked and induced responses in MEG/EEG (2006) — 347 citations
• Modelling event-related responses in the brain (2005) — 326 citations
• Evaluation of different measures of functional connectivity using a neural mass model (2004) — 371 citations
• A neural mass model for MEG/EEG: : coupling and neuronal dynamics (2003) — 751 citations