نتایج جستجو برای: timescales

تعداد نتایج: 10071  

2009
Steve Uhlig Bingjie Fu Almerima Jamakovic

Studies of the Internet have typically focused either on the routing system, i.e. the paths chosen to reach a given destination, or on the evolution of traffic on a physical link. In this paper, we combine routing and traffic, and study for the first time the evolution of the traffic on the Internet topology. We rely on the traffic and routing data of a large transit provider, spanning almost a...

2015
Sungshin Kim Kenji Ogawa Jinchi Lv Nicolas Schweighofer Hiroshi Imamizu James Ashe

Recent computational and behavioral studies suggest that motor adaptation results from the update of multiple memories with different timescales. Here, we designed a model-based functional magnetic resonance imaging (fMRI) experiment in which subjects adapted to two opposing visuomotor rotations. A computational model of motor adaptation with multiple memories was fitted to the behavioral data ...

2015
Morwaread M. Farbood David J. Heeger Gary Marcus Uri Hasson Yulia Lerner

Music, like speech, is a complex auditory signal that contains structures at multiple timescales, and as such is a potentially powerful entry point into the question of how the brain integrates complex streams of information. Using an experimental design modeled after previous studies that used scrambled versions of a spoken story (Lerner et al., 2011) and a silent movie (Hasson et al., 2008), ...

2016
Bror F. Jönsson James R. Watson

Planktonic communities are shaped through a balance of local evolutionary adaptation and ecological succession driven in large part by migration. The timescales over which these processes operate are still largely unresolved. Here we use Lagrangian particle tracking and network theory to quantify the timescale over which surface currents connect different regions of the global ocean. We find th...

2016

In many settings we may wish to learn dynamics at multiple timescales. For example, in the context of speech analysis, we may wish to model both the dynamics within individual phonemes as well as the dynamics across phonemes [68, 18]. In the context of modeling behavior, motion [51], or handwriting [67], it is natural to decompose movements into steps, while still modeling the statistics of the...

Journal: :Annals of the New York Academy of Sciences 2004
Aubrey D N J de Grey

Aging is unpopular with the general public-but, it would seem, only up to a point. Treatments that claim (sometimes justifiably) to extend the total and/or healthy life span of elderly people, or even just make them look younger, are welcomed with open wallets throughout the world. If, however, one suggests to the typical nonbiologist-or even to the typical nongerontologist biologist-that we sh...

Journal: :Current Biology 2016
Martin A. Giese

Adaptation is ubiquitous in the nervous system, and many possible computational roles have been discussed. A new functional imaging study suggests that, in face recognition, the learning of 'norm faces' and adaptation resulting in perceptual after-effects depend on the same mechanism.

2012
Guilherme A. R. Gualda Ayla S. Pamukcu Mark S. Ghiorso Alfred T. Anderson Stephen R. Sutton Mark L. Rivers

Supereruptions violently transfer huge amounts (100 s-1000 s km(3)) of magma to the surface in a matter of days and testify to the existence of giant pools of magma at depth. The longevity of these giant magma bodies is of significant scientific and societal interest. Radiometric data on whole rocks, glasses, feldspar and zircon crystals have been used to suggest that the Bishop Tuff giant magm...

2017
Adam J. Kucharski Derek A. T. Cummings Steven Riley

Human immunity shapes the evolution and impact of novel influenza strains. However, it is challenging to quantify the mechanisms that shape observed immune responses or reliably estimate infection from serology because individuals are infected with multiple strains during their lifetime. Using a Bayesian model of antibody dynamics at different timescales, we explain complex cross-reactive antib...

2016
Tayfun Alpay Stefan Heinrich Stefan Wermter

Recurrent Neural Networks (RNNs) are powerful architectures for sequence learning. Recent advances on the vanishing gradient problem have led to improved results and an increased research interest. Among recent proposals are architectural innovations that allow the emergence of multiple timescales during training. This paper explores a number of architectures for sequence generation and predict...

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