Andreas Spiegler
Cognitive Neuroscience · 2015
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 90 citations into it
- Radiology, Nuclear Medicine and Imaging — 41 citations into it
- Cellular and Molecular Neuroscience — 12 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Andreas Spiegler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gustavo Deco
- Viktor Jirsa
- Karl J. Friston
- Christopher J. Honey
- Olaf Sporns
- Patric Hagmann
- Roberto Fernández Galán
- KongFatt Wong-Lin
Papers from Andreas Spiegler's perspective
Ordered by how strongly the researchers Andreas Spiegler trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting human resting-state functional connectivity from structural connectivity (Proceedings of the National Academy of Sciences of the United States of America)
- Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
- Network structure of cerebral cortex shapes functional connectivity on multiple time scales
- Electrophysiological signatures of resting state networks in the human brain (Proceedings of the National Academy of Sciences of the United States of America)
- Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
- Key role of coupling, delay, and noise in resting brain fluctuations (Proceedings of the National Academy of Sciences of the United States of America)
- Dynamic causal modelling
- Emerging concepts for the dynamical organization of resting-state activity in the brain (Nature Reviews Neuroscience)
- Time-varying functional network information extracted from brief instances of spontaneous brain activity (Proceedings of the National Academy of Sciences of the United States of America)
- Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity (Brain Structure and Function)
Their papers
- Mathematical framework for large-scale brain network modeling in The Virtual Brain (2015) — 336 citations
- Functional connectivity dynamics: Modeling the switching behavior of the resting state (2015) — 542 citations