B. de Vries

Cognitive Neuroscience · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 34 citations into it; #8,051 of 10,852 by trust here, #9,744 by citations
• Cellular and Molecular Neuroscience — 8 citations into it
• Artificial Intelligence — 7 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom B. de Vries trusts overall

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

1. Karl J. Friston
2. David Mumford
3. David John Cameron MacKay

Who trusts B. de Vries overall

1. Karl J. Friston

Papers from B. de Vries's perspective

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

1. Information Theory, Inference, and Learning Algorithms
2. Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks
3. Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.
4. Bayesian surprise attracts human attention
5. Expectation Propagation for approximate Bayesian inference
6. Dynamic Dopamine Modulation in the Basal Ganglia: A Neurocomputational Account of Cognitive Deficits in Medicated and Nonmedicated Parkinsonism (Journal of Cognitive Neuroscience)
7. Possible Principles Underlying the Transformations of Sensory Messages
8. A free energy principle for the brain. (Journal of Physiology - Paris)
9. Constructing free-energy approximations and generalized belief propagation algorithms
10. Probabilistic reasoning in intelligent systems: Networks of plausible inference

Their papers

• The graphical brain: Belief propagation and active inference (2017) — 387 citations