Nelson J. Trujillo-Barreto

Cognitive Neuroscience · 2005–2008

A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 18 citations into it; #4,921 of 10,852 by trust here, #8,619 by citations
• Probabilistic & Bayesian Methods — 13 citations into it; #713 of 1,525 by trust here, #549 by citations
• Statistics and Probability — 13 citations into it; #3,945 of 12,932 by trust here, #2,365 by citations
• Artificial Intelligence — 12 citations into it; #8,883 of 35,345 by trust here, #9,369 by citations
• Radiology, Nuclear Medicine and Imaging — 9 citations into it

Whom Nelson J. Trujillo-Barreto trusts overall

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

1. Karl J. Friston
2. W. D. Penny
3. Radford M. Neal
4. R. Chappell
5. Arthur P. Dempster
6. Tomohiro Ando
7. H. Sørensen
8. Geoffrey E. Hinton
9. Stefan J. Kiebel
10. David John Cameron MacKay

Who trusts Nelson J. Trujillo-Barreto overall

1. Karl J. Friston
2. Jean Daunizeau
3. W. D. Penny
4. Klaas E. Stephan
5. Guillaume Flandin
6. Stefan J. Kiebel
7. David M. Blei
8. C. L. Buckley
9. Adeel Razi
10. David Paul Wipf

Papers from Nelson J. Trujillo-Barreto's perspective

Ordered by how strongly the researchers Nelson J. Trujillo-Barreto 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: 1948-1998 - Guest Editorial
3. Variational algorithms for approximate Bayesian inference
4. Dynamic causal modelling
5. ImageNet classification with deep convolutional neural networks
6. A theory of cortical responses
7. Variational free energy and the Laplace approximation
8. Comparing dynamic causal models (NeuroImage)
9. A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants
10. Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks

Their papers

• Variational free energy and the Laplace approximation (2007) — 947 citations
• DEM: A variational treatment of dynamic systems (2008) — 312 citations
• Multiple sparse priors for the M/EEG inverse problem (2008) — 627 citations
• Bayesian fMRI time series analysis with spatial priors (2005) — 277 citations