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1 ion and thus conforms with the open-chemical system theory.
2 sub-system proteostasis and complex adaptive systems theory.
3 at navigates these issues using methods from systems theory.
4     We approach this by drawing on dynamical systems theory.
5 ia the boundary element method and dynamical systems theory.
6  best described in the language of dynamical systems theory.
7  of developmental patterns, based on dynamic systems theory.
8  signal can be described as following linear systems theory.
9 , metabolic control analysis, or biochemical systems theory.
10  forest fires, a central metaphor in complex systems theory.
11 w models within the framework of Biochemical Systems Theory.
12 dern approaches to improvement, which lie in systems theory.
13 ts by using methods from nonlinear dynamical systems theory.
14 ystematic strategies provided by biochemical systems theory.
15  systematic structure underlying biochemical systems theory.
16 data transformation technique from dynamical systems theory.
17 e present a fresh look inspired by dynamical systems theory.
18 ork neuroscience and experience in dynamical systems theory.
19 furcations (or critical points) in dynamical systems theory.
20  the amplitude scaling assumption for linear systems theory across cortical depth holds for luminance
21                     By integrating dynamical systems theory, AI-based surrogate modeling, and adaptiv
22 utes are consistent with elements of complex system theory and the temporal evolution of otherwise un
23 sonalized neuropsychiatry based on dynamical systems theory and AI.
24 tart with a mathematical primer on dynamical systems theory and analytical tools necessary to apply t
25 ol engineering problem grounded in dynamical systems theory and artificial intelligence (AI).
26    Agreement between predictions from linear systems theory and experimental data supports the notion
27 er the brain from the viewpoint of dynamical systems theory and hypothesize that the unique feature o
28      A new study showcases the usefulness of systems theory and network analyses for understanding ho
29 s disciplinary boundaries, including dynamic systems theory and network theory.
30 mall battery of metrics drawn from dynamical systems theory and predicts the impact of consciousness-
31                       Drawing upon dynamical systems theory and the concepts of attractors and repell
32 portance of multilevel selection and complex systems theory, and utopic versus dystopic scenarios for
33 sted within the framework of complex dynamic systems theory, and we propose that the dorsal posterior
34 earby saddle-node bifurcation from dynamical systems theory, and which provides a novel policy opport
35 demonstrating the applicability of nonlinear system theory as a powerful predictor of the dynamical r
36                 We focus on the specifics of systems theories as applied to families, and the researc
37 e import phase-delay time plots from chaotic systems theory as a dynamic data visualization device an
38 ue can be viewed in the context of dynamical systems theory as the attempt to move a dynamical system
39                                  Biochemical Systems Theory (BST) is the mathematical basis of a well
40 onical system representations of Biochemical Systems Theory (BST).
41  the development of statistics and dynamical systems theory, but recent analytical advances, coupled
42 oteomics, computational biology, and complex system theory can be used a) to model critical illness;
43   In this paper, we illustrate how dynamical systems theory can provide a unifying conceptual framewo
44          Our analysis, which is derived from systems theory, carries out a particular view of the res
45                       Complementary Learning Systems Theory (CLST) suggests that new memories can be
46     This Primer examines five core dynamical systems theory concepts and their applications to patter
47 quirements can be inferred from quantitative systems theory considerations, informed by knowledge of
48 ndancy complicates traditional motor control system theory due to its extensive sensory inputs, subse
49                         Using the Ecological Systems Theory (EST) as a model, we sought to examine th
50 e then discuss the implications of this 'two-system' theory for basic and clinical neuroscience studi
51 system, thus enabling the user to use linear systems theory for analysis and control of the system; (
52   Our stability analysis, based on dynamical systems theory, guarantees global convergence to steady
53                               While monotone systems theory has been used previously for systems biol
54 lems tends to accelerate progress--as linear systems theory has done, for example.
55 ral early warning signals (EWS) from complex systems theory have been introduced to detect impending
56  the amplitude scaling assumption for linear systems theory holds across cortical depth.
57  the "smoking gun" of the approximate number system theory, including cross-modal studies, animal stu
58                                              Systems theories, including network analysis and machine
59                      Concepts from dynamical systems theory, including multi-stability, oscillations,
60                                      Dynamic systems theory is a metatheoretical framework for studyi
61                                    Dynamical systems theory is widely used to explain tipping points,
62      However, at the foundation of dynamical systems theory lies a definition of what constitutes the
63    Coevolutionary theories and developmental systems theories may eventually give rise to unification
64 research highlights how tools from dynamical systems theory may inform our understanding of patternin
65 em structures and changes, such as dynamical systems theory, network theory, instability mechanisms,
66 pying strategies which can be linked to dual-system theories of behavior.
67                                         Dual-system theories of human cognition, under which fast aut
68 d executive systems posited by a dual neural systems theory of adolescent development.
69 ns of each cell type in the neural dynamical systems theory of Izhikevich.
70                                   Non-linear systems theory offers the possibility of studying import
71 s and analyses in the framework of dynamical systems theories on epithelial-to-mesenchymal transition
72 e results are interpreted in terms of a dual-system theory proposed by R. Hirsh (1974).
73          The "ascending reticular activating system" theory proposed that neurons in the upper brains
74                                    Dynamical systems theory provides a powerful quantitative, visual
75  of adversity to Bronfenbrenner's ecological systems theory provides a strategic approach to improvin
76 equations depending on parameters; dynamical systems theory provides, through the appropriate normal
77 e problem as a more general one in dynamical systems theory, providing simple criteria for open-ended
78 purposes of this review, our use of the term systems theory references the body of interdisciplinary
79     Analyses of the model based on dynamical systems theory show that perceptual awareness in simulat
80 putational modeling, insights from dynamical systems theory, sophisticated stimulus designs, and stud
81                                         Dual system theories suggest that behavioral control is parse
82                                    Dynamical systems theory suggests that this interplay between aspe
83 than these, it draws on previous advances in Systems Theory, Systems Biology, and Hierarchy Theory.
84 ding to the classical Complementary Learning Systems theory, the hippocampus (HPC) rapidly changes it
85                       According to dynamical systems theory, these responses are self-organised, emer
86 application of analysis tools from Nonlinear System Theory to the Strachan model, to craft the proper
87  spread to cortex, extending multiple memory systems theories to encompass cognitive task learning.
88 mework builds on Bronfenbrenner's ecological systems theory to conceptualize adversities at intrapers
89 reaction-diffusion simulation, and dynamical systems theory to demonstrate that MCS can indeed be a f
90          Here, we apply stochastic dynamical systems theory to derive general statistical scaling rel
91 n by employing metrics issued from dynamical systems theory to describe the atmospheric circulation a
92 hors apply the analogy of a "black box" from systems theory to epidemiologic problems.
93        In this paper, we apply a result from systems theory to explain the observations of bird V-for
94                      Here we employ monotone systems theory to formulate a theorem stating necessary
95                   The application of complex systems theory to physiology and medicine has provided m
96                  Finally, by applying linear systems theory to the models considered, we provide some
97 in spin-1/2 and apply ab initio open quantum systems theory to their full molecular electronic wavefu
98 e well-established techniques from dynamical systems theory to uncover and classify ranges of auxin p
99 account for this challenge, using non-linear system theory, we develop a novel spectral characterizat
100                       Based on the nonlinear system theory, we introduce previously undescribed depen
101 th numerical calculations based on dynamical system theory, we investigated stability changes of APs
102  calculations with methods from open quantum system theory, we show that optimal parameters to genera
103                   Using tools from dynamical systems theory, we analyze the role of these emergent si
104 tion with biophysical modeling and dynamical systems theory, we analyzed, for the first time, the mec
105 framing this interpretation within dynamical systems theory, we arrive at a surprising prediction: a
106  Using techniques from control and dynamical systems theory, we demonstrate that integral control is
107 behavioral states characterized by dynamical systems theory, which includes discrete stages of period
108 ensively studied in the context of dynamical systems theory, with many empirical phenomena described

 
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