Annette Horstmann
Cognitive Neuroscience · 2010–2017
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 28 citations into it
- Statistics and Probability — 28 citations into it
- Artificial Intelligence — 23 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
Whom Annette Horstmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eric-Jan Wagenmakers
- Peter J. Green
- Sylvia Frühwirth-Schnatter
- Anna Pajor
- Robert E. Kass
- Olaf Sporns
- Phillip Bonacich
- Richard S. Sutton
- E. Bullmore
Papers from Annette Horstmann's perspective
Ordered by how strongly the researchers Annette Horstmann trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- Bayes factors
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Marginal Likelihood From the Metropolis–Hastings Output
- Complex brain networks: graph theoretical analysis of structural and functional systems
- Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function (Proceedings of the National Academy of Sciences of the United States of America)
- Annealed importance sampling
- Reinforcement Learning: An Introduction
- Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer’s Disease
- A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs (Journal of Neuroscience)
Their papers
- Safe models for risky decisions (2017) — 108 citations
- Eigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain (2010) — 506 citations