1.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS16 papers
- Massachusetts Institute of TechnologyUS8 papers
- Czech Academy of Sciences, Institute of Computer ScienceCZ6 papers
- University of CambridgeGB6 papers
- University of OxfordGB5 papers
- University College LondonGB4 papers
- Bernstein Center for Computational Neuroscience BerlinDE3 papers
- Charité - Universitätsmedizin BerlinDE3 papers
- Columbia UniversityUS3 papers
- Czech Academy of SciencesCZ3 papers
- Georgia Institute of TechnologyUS3 papers
- Harvard UniversityUS3 papers
6 papers · 1 filter
Extrapolating Expected Accuracies for Large Multi-Class Problems
Charles Zheng, Rakesh Achanta, Yuval Benjamini
The difficulty of multi-class classification generally increases with the number of classes. Using data from a subset of the classes, can we predict how well a classifier will scal…
Chimera states in brain networks: empirical neural vs. modular fractal connectivity
Teresa Chouzouris, Iryna Omelchenko, Anna Zakharova +3
Complex spatiotemporal patterns, called chimera states, consist of coexisting coherent and incoherent domains and can be observed in networks of coupled oscillators. The interplay…
The interplay between long- and short-range temporal correlations shapes cortex dynamics across vigilance states
Christian Meisel, Andreas Klaus, Vladyslav V. Vyazovskiy +1
Increasing evidence suggests that cortical dynamics during wake exhibits long-range temporal correlations suitable to integrate inputs over extended periods of time to increase the…
The Same Analysis Approach: Practical protection against the pitfalls of novel neuroimaging analysis methods
Kai Görgen, Martin N. Hebart, Carsten Allefeld +1
Standard neuroimaging data analysis based on traditional principles of experimental design, modelling, and statistical inference is increasingly complemented by novel analysis meth…
FMRI Clustering and False Positive Rates
Robert W. Cox, Gang Chen, Daniel R. Glen +2
Recently, Eklund et al. (2016) analyzed clustering methods in standard FMRI packages: AFNI (which we maintain), FSL, and SPM [1]. They claimed: 1) false positive rates (FPRs) in tr…
Versatility of nodal affiliation to communities
Maxwell Shinn, Rafael Romero-Garcia, Jakob Seidlitz +3
Graph theoretical analysis of the community structure of networks attempts to identify the communities (or modules) to which each node affiliates. However, this is in most cases an…