Results 221 to 230 of about 104,993 (265)
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Stochastic interaction in associative nets
Neurocomputing, 2005Spatio-temporal correlations in spike trains of simultaneously recorded neurons characterize stochastic interactions in neural networks. Information theoretic measures for ''spatial'' and ''temporal stochastic interaction'' can measure the total amount of dependence in a set of cells.
Thomas Wennekers, Nihat Ay
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Interacting stochastic oscillators
Physical Review E, 2008Stochastic coherence (SC) and self-induced stochastic resonance (SISR) are two distinct mechanisms of noise-induced coherent motion. For interacting SC and SISR oscillators, we find that whether or not phase synchronization is achieved depends sensitively on the coupling strength and noise intensities.
Jiajun, Zhang +3 more
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Population dynamics with stochastic interaction
Transport Theory and Statistical Physics, 1995Abstract This paper deals with the mathematical modelling of population dynamics with stochastic individual interaction. The model provides a general framework for the prediction of general physical behaviours: from social behaviours to the dynamics of immunological defences. The qualitative analysis is developed in the last part of the paper.
ARLOTTI, Luisa, BELLOMO N.
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Stochastic formulation of neural interaction
Acta Applicandae Mathematica, 1985Starting from basic physiological evidence, stochastic equations are formulated for the description of neural interaction. The formulation is based upon the deterministic linear spatio-temporal integration of action potentials into generator potentials.
Johannesma, P. I. M. +1 more
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On the stochastic dynamics of neuronal interaction
Biological Cybernetics, 1976The response of many neurons in the nervous system is a nonlinear function of membrane potential. Nevertheless, if the membrane potentials are normally distributed then their covariance satisfies a linear equation. This suggests that information in the nervous system may be processed by correlations between membrane potentials, a hypothesis which is ...
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Stochastic Simulation of Ligand–Receptor Interaction
Computers and Biomedical Research, 1997We have developed an algorithm for the stochastic simulation of ligand-receptor interactions based on 10(4)-10(5) fictitious binding sites. Reversible receptor binding was simulated by alternate random selection of sites, the first selection resulting in "occupation" if the selected site was "free," the second selection resulting in "dissociation" if ...
M, Veitl, U, Schweiger, M L, Berger
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A stochastic block model for interaction lengths
Advances in Data Analysis and Classification, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Riccardo Rastelli, Michael Fop
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Stochastic hyperfine interactions modeling library
Computer Physics Communications, 2011Abstract The stochastic hyperfine interactions modeling library (SHIML) provides a set of routines to assist in the development and application of stochastic models of hyperfine interactions. The library provides routines written in the C programming language that (1) read a text description of a model for fluctuating hyperfine fields, (2) set up the
Matthew O. Zacate, William E. Evenson
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Stochastic modeling of boiling-site interaction
Physical Review A, 1991A stochastic model is proposed and kinetic equations are derived to describe the boiling process on a solid surface. The model considers bubble growth at discrete nucleation sites and accounts for interactions between adjacent sites. The model is valid for initial stages of nucleate boiling when vigorous surface boiling has not yet commenced.
, Kitron, , Elperin, , Tamir
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A stochastic interacting field
Il Nuovo Cimento A, 1968An interacting scalar quantum field formalism is examined in which a kinematical dependence on stochastically averaged space-time co-ordinates is required. A necessary condition that the interacting field satisfy canonical equal-time commutation relations is derived.
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