Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Kohar, Vivek"'
Certain nonlinear systems can switch between dynamical attractors occupying different regions of phase space, under variation of parameters or initial states. In this work we exploit this feature to obtain reliable logic operations. With logic output
Externí odkaz:
http://arxiv.org/abs/1811.10029
Autor:
Lindner, John F., Kohar, Vivek, Kia, Behnam, Hippke, Michael, Learned, John G., Ditto, William L.
Dramatically improved data from observatories like the CoRoT and Kepler spacecraft have recently facilitated nonlinear time series analysis and phenomenological modeling of variable stars, including the search for strange (aka fractal) or chaotic dyn
Externí odkaz:
http://arxiv.org/abs/1510.04719
Autor:
Lindner, John F., Kohar, Vivek, Kia, Behnam, Hippke, Michael, Learned, John G., Ditto, William L.
Publikováno v:
Phys. Rev. Lett. 114, 054101 (2015)
The unprecedented light curves of the Kepler space telescope document how the brightness of some stars pulsates at primary and secondary frequencies whose ratios are near the golden mean, the most irrational number. A nonlinear dynamical system drive
Externí odkaz:
http://arxiv.org/abs/1501.01747
Publikováno v:
In iScience 26 June 2020 23(6)
Autor:
Hosur, Vishnu, Skelly, Daniel A., Francis, Christopher, Low, Benjamin E., Kohar, Vivek, Burzenski, Lisa M., Amiji, Mansoor M., Shultz, Leonard D., Wiles, Michael V.
Publikováno v:
In Drug Discovery Today June 2020 25(6):1013-1025
We consider the influence of local noise on a generalized network of populations having positive and negative feedbacks. The population dynamics at the nodes is nonlinear, typically chaotic, and allows cessation of activity if the population falls be
Externí odkaz:
http://arxiv.org/abs/1312.6656
We study the dynamics of a collection of nonlinearly coupled limit cycle oscillators, relevant to systems ranging from neuronal populations to electrical circuits, under coupling topologies varying from a regular ring to a random network. We find tha
Externí odkaz:
http://arxiv.org/abs/1311.1544
Autor:
Su, Kenong, Katebi, Ataur, Kohar, Vivek, Clauss, Benjamin, Gordin, Danya, Qin, Zhaohui S., Karuturi, R. Krishna M., Li, Sheng, Lu, Mingyang
Additional file 4: Review history.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5b4d97bd365eaca62caf3324f61b0e4
Autor:
Su, Kenong, Katebi, Ataur, Kohar, Vivek, Clauss, Benjamin, Gordin, Danya, Qin, Zhaohui S., Karuturi, R. Krishna M., Li, Sheng, Lu, Mingyang
Additional file 2: Fig. S1. Comparison of the grouping schemes by Newman’s method (NetAct) and other community detection algorithms. Fig. S2. Correlation structure in the simulated activities and expressions of the synthetic gene regulatory network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be4bc511d60eaf439929cf882763efc8
Autor:
Su, Kenong, Katebi, Ataur, Kohar, Vivek, Clauss, Benjamin, Gordin, Danya, Qin, Zhaohui S., Karuturi, R. Krishna M., Li, Sheng, Lu, Mingyang
Additional file 1: Supplementary Note 1. TF-target gene set databases. Supplementary Note 2. Processing transcriptomics data. Supplementary Note 3. In silico TF activity inference benchmark. Supplementary Note 4. Construction of the synthetic GRN. Su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70d914116eb0ebb3097c8134063b086f