Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Stephens, Greg J."'
Autor:
Rozemuller, W. Mathijs, Werner, Steffen, Costa, Antonio Carlos, O'Shaughnessy, Liam, Stephens, Greg J., Shimizu, Thomas S.
Animal locomotion is often subject to constraints arising from anatomical/physiological asymmetries. We use the nematode C.~elegans as a minimal model system to ask whether such constraints might shape locomotion patterns optimized during evolution.
Externí odkaz:
http://arxiv.org/abs/2311.00616
Publikováno v:
Proc. Natl. Acad. Sci. U. S. A. 121, e2318805121 (2024)
How do we capture the breadth of behavior in animal movement, from rapid body twitches to aging? Using high-resolution videos of the nematode worm $C. elegans$, we show that a single dynamics connects posture-scale fluctuations with trajectory diffus
Externí odkaz:
http://arxiv.org/abs/2310.12883
Autor:
Werner, Steffen, Rozemuller, W Mathijs, Ebbing, Annabel, Alemany, Anna, Traets, Joleen, van Zon, Jeroen S., van Oudenaarden, Alexander, Korswagen, Hendrik C., Stephens, Greg J., Shimizu, Thomas S.
While measurement advances now allow extensive surveys of gene activity (large numbers of genes across many samples), interpretation of these data is often confounded by noise -- expression counts can differ strongly across samples due to variation o
Externí odkaz:
http://arxiv.org/abs/2006.06767
Animal behavior is often quantified through subjective, incomplete variables that may mask essential dynamics. Here, we develop a behavioral state space in which the full instantaneous state is smoothly unfolded as a combination of short-time posture
Externí odkaz:
http://arxiv.org/abs/1911.10559
Tracking large numbers of densely-arranged, interacting objects is challenging due to occlusions and the resulting complexity of possible trajectory combinations, as well as the sparsity of relevant, labeled datasets. Here we describe a novel techniq
Externí odkaz:
http://arxiv.org/abs/1812.11797
Publikováno v:
Nat Commun 11, 975 (2020)
The reliable detection of environmental molecules in the presence of noise is an important cellular function, yet the underlying computational mechanisms are not well understood. We introduce a model of two interacting sensors which allows for the pr
Externí odkaz:
http://arxiv.org/abs/1809.04095
Publikováno v:
Proceedings of the National Academy of Sciences Jan 2019, 116 (5) 1501-1510
The dynamics of complex systems generally include high-dimensional, non-stationary and non-linear behavior, all of which pose fundamental challenges to quantitative understanding. To address these difficulties we detail a new approach based on local
Externí odkaz:
http://arxiv.org/abs/1807.09728
Publikováno v:
PloS Comp. Biol. 13 (9), e1005747 (2017)
A deterministic population dynamics model involving birth and death for a two-species system, comprising a wild-type and more resistant species competing via logistic growth, is subjected to two distinct stress environments designed to mimic those th
Externí odkaz:
http://arxiv.org/abs/1802.02408
From human crowds to cells in tissue, the detection and efficient tracking of multiple objects in dense configurations is an important and unsolved problem. In the past, limitations of image analysis have restricted studies of dense groups to trackin
Externí odkaz:
http://arxiv.org/abs/1712.08324
Autor:
Nguyen, Dieu My T., Iuzzolino, Michael L., Mankel, Aaron, Bozek, Katarzyna, Stephens, Greg J., Peleg, Orit
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2021 Mar . 118(13), 1-8.
Externí odkaz:
https://www.jstor.org/stable/27039746
