Lee M. Harrison

Cognitive Neuroscience · 2003–2010

A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 90 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 50 citations into it; #250 of 10,852 by trust here, #516 by citations
• Artificial Intelligence — 14 citations into it; #24,543 of 35,345 by trust here, #34,943 by citations
• Radiology, Nuclear Medicine and Imaging — 14 citations into it
• Cellular and Molecular Neuroscience — 12 citations into it; #1,822 of 2,998 by trust here, #1,858 by citations
• Probabilistic & Bayesian Methods — 11 citations into it
• Statistics and Probability — 10 citations into it; #9,081 of 12,932 by trust here, #12,603 by citations
• Neuroscience — 5 citations into it
• Signal Processing — 5 citations into it

Whom Lee M. Harrison trusts overall

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

1. Karl J. Friston
2. David John Cameron MacKay
3. W. D. Penny
4. Lehel Csató
5. Olivier David
6. David Mumford
7. Radford M. Neal
8. Manfred Opper
9. Geoffrey E. Hinton
10. John Ashburner

Who trusts Lee M. Harrison overall

1. Karl J. Friston
2. Klaas E. Stephan
3. W. D. Penny
4. Jean Daunizeau
5. Stefan J. Kiebel
6. Olivier David
7. Michael Breakspear
8. Anil K. Seth
9. Gustavo Deco
10. Olaf Sporns

Papers from Lee M. Harrison's perspective

Ordered by how strongly the researchers Lee M. Harrison 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. Information Theory, Inference, and Learning Algorithms
3. The Helmholtz Machine
4. Comparing dynamic causal models (NeuroImage)
5. Nonlinear responses in fMRI: the Balloon model, Volterra kernels, and other hemodynamics. (NeuroImage)
6. A theory of cortical responses
7. Variational free energy and the Laplace approximation
8. Information Theory: 1948-1998 - Guest Editorial
9. Attentional modulation of effective connectivity from V2 to V5/MT in humans.
10. Stein's Estimation Rule and Its Competitors- An Empirical Bayes Approach

Their papers

• A Bayesian spatiotemporal model for very large data sets (2010) — 27 citations
• Nonlinear Dynamic Causal Models for fMRI (2008) — 441 citations
• Multiple sparse priors for the M/EEG inverse problem (2008) — 627 citations
• A free energy principle for the brain. (2006) — 1,320 citations
• Modelling event-related responses in the brain (2005) — 326 citations
• Dynamic causal modelling (2003) — 4,588 citations