Results 21 to 30 of about 198,332 (267)
A new view of axon growth and guidance grounded in the stochastic dynamics of actin networks
Open Biology, 2023 The mechanism of axon growth and guidance is a core, unsolved problem in neuroscience and cell biology. For nearly three decades, our view of this process has largely been based on deterministic models of motility derived from studies of neurons cultured
Rameen Forghani +3 more
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Modeling Long-Range Dynamic Correlations of Words in Written Texts with Hawkes Processes
Entropy, 2022 It has been clarified that words in written texts are classified into two groups called Type-I and Type-II words. The Type-I words are words that exhibit long-range dynamic correlations in written texts while the Type-II words do not show any type of ...
Hiroshi Ogura +3 more
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Layout graph model for semantic façade reconstruction using laser point clouds
Geo-spatial Information Science, 2021 Building façades can feature different patterns depending on the architectural style, functionality, and size of the buildings; therefore, reconstructing these façades can be complicated.
Hongchao Fan, Yuefeng Wang, Jianya Gong
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Frontiers in Applied Mathematics and Statistics, 2020 It is well-known that additive noise affects the stability of non-linear systems. Using a network composed of two interacting populations, detailed stochastic and non-linear analysis demonstrates that increasing the intensity of iid additive noise ...
Axel Hutt +3 more
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Active Learning Strategy for Surrogate-Based Quantile Estimation of Field Function
Applied Sciences, 2022 Uncertainty quantification is widely used in engineering domains to provide confidence measures on complex systems. It often requires to accurately estimate extreme statistics on computationally intensive black-box models.
Loïc Brevault +2 more
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New Journal of Physics, 2022 We apply tensor networks to counting statistics for the stochastic particle transport in an out-of-equilibrium diffusive system. This system is composed of a one-dimensional channel in contact with two particle reservoirs at the ends.
Jiayin Gu, Fan Zhang
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Markov processes of cubic stochastic matrices: Quadratic stochastic processes
Linear Algebra and its Applications, 2019 We consider Markov processes of cubic stochastic (in a fixed sense) matrices which are also called quadratic stochastic process (QSPs). A QSP is a particular case of a continuous-time dynamical system whose states are stochastic cubic matrices satisfying an analogue of the Kolmogorov-Chapman equation (KCE).
J.M. Casas, M. Ladra, U.A. Rozikov
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Characterization of Predictive Behavior of a Retina by Mutual Information
Frontiers in Computational Neuroscience, 2017 Probing a bullfrog retina with spatially uniform light pulses of correlated stochastic intervals, we calculate the mutual information between the spiking output at the ganglion cells measured with multi-electrode array (MEA) and the interval of the ...
Kevin Sean Chen +4 more
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Runoff as a Stochastic Process
International Journal of Mathematics and Computers in Simulation, 2022 Runoff stationary critical flow is investigated as a stochastic process by means of two routing simulation models, a stream confluence, which has beens interpreted as a Marcus- Lushnikov coalescence process, and a channel splitting model, which has ben interpreted as a Markov chain over a regular tree.
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Mathematics, 2020 Adding a linear trend in regressions is a frequent detrending method in economic literatures. The traditional literatures pointed out that if the variable considered is a difference-stationary process, then it will artificially create pseudo-periodicity ...
Zhiming LONG, Rémy HERRERA
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