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Institution

Frankfurt Institute for Advanced Studies

FacilityFrankfurt am Main, Germany
About: Frankfurt Institute for Advanced Studies is a facility organization based out in Frankfurt am Main, Germany. It is known for research contribution in the topics: Baryon & Quark–gluon plasma. The organization has 798 authors who have published 2733 publications receiving 82799 citations. The organization is also known as: FIAS.


Papers
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Journal ArticleDOI
28 Feb 2013-PLOS ONE
TL;DR: A robust estimator for neuronal interaction delays rooted in an information-theoretic framework is proposed, which allows a model-free exploration of interactions and shows the ability of the extended transfer entropy to detect the presence of multiple delays, as well as feedback loops.
Abstract: In complex networks such as gene networks, traffic systems or brain circuits it is important to understand how long it takes for the different parts of the network to effectively influence one another. In the brain, for example, axonal delays between brain areas can amount to several tens of milliseconds, adding an intrinsic component to any timing-based processing of information. Inferring neural interaction delays is thus needed to interpret the information transfer revealed by any analysis of directed interactions across brain structures. However, a robust estimation of interaction delays from neural activity faces several challenges if modeling assumptions on interaction mechanisms are wrong or cannot be made. Here, we propose a robust estimator for neuronal interaction delays rooted in an information-theoretic framework, which allows a model-free exploration of interactions. In particular, we extend transfer entropy to account for delayed source-target interactions, while crucially retaining the conditioning on the embedded target state at the immediately previous time step. We prove that this particular extension is indeed guaranteed to identify interaction delays between two coupled systems and is the only relevant option in keeping with Wiener’s principle of causality. We demonstrate the performance of our approach in detecting interaction delays on finite data by numerical simulations of stochastic and deterministic processes, as well as on local field potential recordings. We also show the ability of the extended transfer entropy to detect the presence of multiple delays, as well as feedback loops. While evaluated on neuroscience data, we expect the estimator to be useful in other fields dealing with network dynamics.

254 citations

Journal ArticleDOI
TL;DR: In this article, the storage and balancing needs of a simplified European power system, which is based on wind and solar power generation only, are derived from an extensive weather-driven modeling of hourly power mismatches between generation and load.

254 citations

Journal ArticleDOI
01 Sep 2017-Energy
TL;DR: In this article, the authors interpolate between two concepts for balancing the variability of these renewable sources: balancing at continental scales using the transmission grid and balancing locally with storage, by systematically restricting transmission capacities from the optimum level to zero.

248 citations

Journal ArticleDOI
TL;DR: An atomic-resolution fibril structure of the Aβ1-40 peptide with the Osaka mutation (E22Δ), associated with early-onset AD is reported, which differs substantially from all previously proposed models.
Abstract: Despite its central importance for understanding the molecular basis of Alzheimer's disease (AD), high-resolution structural information on amyloid β-peptide (Aβ) fibrils, which are intimately linked with AD, is scarce. We report an atomic-resolution fibril structure of the Aβ1-40 peptide with the Osaka mutation (E22Δ), associated with early-onset AD. The structure, which differs substantially from all previously proposed models, is based on a large number of unambiguous intra- and intermolecular solid-state NMR distance restraints.

248 citations

Journal ArticleDOI
TL;DR: In this paper, the mass of rotating configurations on the turning-point line was shown to have a universal behaviour when expressed in terms of the normalised Keplerian angular momentum, and the maximum mass allowed by uniform rotation, M_{max}, was computed simply by using the maximum masses of the non-rotating configuration, M{TOV}, finding that M{max} ~ (1.203 +- 0.022) M_{TOV}.
Abstract: A number of recent works have highlighted that it is possible to express the properties of general-relativistic stellar equilibrium configurations in terms of functions that do not depend on the specific equation of state employed to describe matter at nuclear densities. These functions are normally referred to as "universal relations" and have been found to apply, within limits, both to static or stationary isolated stars, as well as to fully dynamical and merging binary systems. Further extending the idea that universal relations can be valid also away from stability, we show that a universal relation is exhibited also by equilibrium solutions that are not stable. In particular, the mass of rotating configurations on the turning-point line shows a universal behaviour when expressed in terms of the normalised Keplerian angular momentum. In turn, this allows us to compute the maximum mass allowed by uniform rotation, M_{max}, simply in terms of the maximum mass of the nonrotating configuration, M_{TOV}, finding that M_{max} ~ (1.203 +- 0.022) M_{TOV} for all the equations of state we have considered. We further show that a universal relation can be found between the dimensionless moment of inertia and the stellar compactness. Although this relation is not surprising as it involves two quantities that have been shown to exhibit universal behaviour with other stellar properties, our parameterisation represents a refinement over a similar relation by Lattimer and Schutz (2005), where a different normalisation was used, and could provide an accurate tool to constrain the equation of state of nuclear matter when measurements of the moment of inertia become available.

244 citations


Authors

Showing all 809 results

NameH-indexPapersCitations
Wolf Singer12458072591
Peter Braun-Munzinger10052734108
R. Stock9642934877
G. Kozlov9033936161
Luciano Rezzolla9039426159
Walter Greiner84128251857
Igor Pshenichnov8336222699
Xiaofeng Zhu80106228158
Mikolaj Krzewicki7728418908
Ivan Kisel7538918330
David Edmund Johannes Linden7436118787
David Michael Rohr7121715111
Sergey Gorbunov7125815638
M. Bach7112314661
Miklos Gyulassy6935819140
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202312
202224
2021172
2020155
2019172
2018219