Lev S. Tsimring
University of California, San Diego
218 Papers
1.2K Citations
Lev S. Tsimring is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Population & Chaotic. The author has an hindex of 58, co-authored 210 publications. Previous affiliations of Lev S. Tsimring include Russian Academy of Sciences & University of California, Berkeley.
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Papers
The analysis of observed chaotic data in physical systems
TL;DR: Chaotic time series data are observed routinely in experiments on physical systems and in observations in the field as mentioned in this paper, and many tools have been developed for the analysis of such data.
1.9K
Generalized synchronization of chaos in directionally coupled chaotic systems
TL;DR: A generalization of this condition, which equates dynamical variables from one subsystem with a function of the variables of another subsystem, which means that synchronization implies a collapse of the overall evolution onto a subspace of the system attractor in full space.
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A fast, robust and tunable synthetic gene oscillator
Jesse Stricker,Scott Cookson,Matthew R. Bennett,William H. Mather,Lev S. Tsimring,Jeff Hasty +5 more
TL;DR: An engineered genetic oscillator in Escherichia coli is described that is fast, robust and persistent, with tunable oscillatory periods as fast as 13 min, and Computational modelling demonstrates that the key design principle for constructing a robust oscillator is a time delay in the negative feedback loop.
A synchronized quorum of genetic clocks
TL;DR: An engineered gene network with global intercellular coupling that is capable of generating synchronized oscillations in a growing population of cells is described and computational modelling is used to describe quantitatively the observed dependence of the period and amplitude of the bulk oscillations on the flow rate.
Patterns and collective behavior in granular media: Theoretical concepts
Igor S. Aranson,Lev S. Tsimring +1 more
TL;DR: In this paper, the authors survey a number of situations in which nontrivial patterns emerge in granular systems, elucidates important distinctions between these phenomena and similar ones occurring in continuum fluids, and describes general principles and models of pattern formation in complex systems that have been successfully applied to granular system.