Christophe L. M. Phillips

Cognitive Neuroscience · 2000–2019

A researcher in the Science corpus: 11 papers; trusts 14 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 114 citations into it; #3,432 of 10,852 by trust here, #977 by citations
• Radiology, Nuclear Medicine and Imaging — 24 citations into it
• Artificial Intelligence — 19 citations into it
• Statistics and Probability — 17 citations into it; #10,126 of 12,932 by trust here, #4,517 by citations
• Computer Vision and Pattern Recognition — 12 citations into it
• Signal Processing — 10 citations into it; #7,234 of 7,572 by trust here, #3,099 by citations
• Probabilistic & Bayesian Methods — 9 citations into it

Whom Christophe L. M. Phillips trusts overall

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

1. Karl J. Friston
2. W. D. Penny
3. Stefan J. Kiebel
4. Radford M. Neal
5. Eric R. Ziegel
6. Matthew J. Beal
7. John Ashburner
8. Bradley Efron
9. R. Chappell
10. Geoffrey E. Hinton

Who trusts Christophe L. M. Phillips overall

1. Karl J. Friston
2. Stefan J. Kiebel
3. David Paul Wipf
4. W. D. Penny
5. Susanne Diekelmann
6. Olivier David

Papers from Christophe L. M. Phillips's perspective

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

1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
2. Variational algorithms for approximate Bayesian inference
3. Dynamic causal modelling
4. Voxel-based morphometry--the methods.
5. Interpreting magnetic fields of the brain: minimum norm estimates (Medical and Biological Engineering and Computing)
6. Comparing dynamic causal models (NeuroImage)
7. Variational free energy and the Laplace approximation
8. Population dynamics: Variance and the sigmoid activation function
9. Variational Bayesian inference for fMRI time series
10. Multiple sparse priors for the M/EEG inverse problem (NeuroImage)

Their papers

• Classical and Bayesian Inference in Neuroimaging: Theory (2002) — 641 citations
• EEG-BIDS, an extension to the brain imaging data structure for electroencephalography (2019) — 389 citations
• PRoNTo: Pattern Recognition for Neuroimaging Toolbox (2013) — 439 citations
• Two Distinct Neuronal Networks Mediate the Awareness of Environment and of Self (2011) — 441 citations
• EEG and MEG Data Analysis in SPM8 (2011) — 600 citations
• Breakdown of within- and between-network Resting State Functional Magnetic Resonance Imaging Connectivity during Propofol-induced Loss of Consciousness (2010) — 611 citations
• Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG (2008) — 115 citations
• Multiple sparse priors for the M/EEG inverse problem (2008) — 627 citations
• Are spatial memories strengthened in the human hippocampus during slow wave sleep? (2004) — 774 citations
• Learned material content and acquisition level modulate cerebral reactivation during posttraining rapid-eye-movements sleep (2003) — 315 citations
• Experience-dependent changes in cerebral activation during human REM sleep (2000) — 736 citations