Sandra Iglesias
Cognitive Neuroscience · 2014–2017
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 30 citations into it
- Artificial Intelligence — 5 citations into it
Whom Sandra Iglesias trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sandra Iglesias's perspective
Ordered by how strongly the researchers Sandra Iglesias trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- The Helmholtz Machine
- The Bayesian brain: the role of uncertainty in neural coding and computation. (Trends in Neurosciences)
- Uncertainty, neuromodulation, and attention. (Neuron)
- Pattern Recognition and Machine Learning
- Variational free energy and the Laplace approximation
- Associative learning of social value
- Learning the value of information in an uncertain world
- The free-energy principle: a rough guide to the brain?
- Bayesian data analysis.
Their papers
- The PhysIO Toolbox for Modeling Physiological Noise in fMRI Data. (2017) — 362 citations
- Uncertainty in perception and the Hierarchical Gaussian Filter (2014) — 418 citations