Výsledky vyhľadávania - 60 Probability theory AND stochastic processes, 30 Functions of a complex variable

Probability and Neurodegeneration: Alzheimer's Disease and Huntington's Disease.

Autori: Panegyres, Peter K.

Zdroj: Brain Sciences (2076-3425); Aug2025, Vol. 15 Issue 8, p814, 14p

Predmety: NEURODEGENERATION, HUNTINGTON disease, AGE of onset, PROBABILITY theory, GENETIC mutation, ALZHEIMER'S disease, APOLIPOPROTEIN E4, STOCHASTIC processes

Splitting algorithm and normed convergence for drawing the random fractal Loewner curves

Autori: Chen, Jiaming Margarint, Vlad

Predmety: Probability (math.PR), FOS: Mathematics, 0101 mathematics, 01 natural sciences, Mathematics - Probability, 60 Probability theory and stochastic processes, 30 Functions of a complex variable

Prístupová URL adresa: http://arxiv.org/abs/2110.10631

A new approach to SLE phase transition

Autori: Beliaev, Dmitry Lyons, Terry J. Margarint, Vlad

Predmety: Mathematics - Complex Variables, 30 Functions of Complex Variables, 60 Probability Theory and Stochastic Processes, Probability (math.PR), FOS: Mathematics, 0101 mathematics, Complex Variables (math.CV), 01 natural sciences, Mathematics - Probability

Prístupová URL adresa: http://arxiv.org/abs/2001.10987

Stochastic processes shape the functional and phylogenetic structure of bird assemblages at the mine area in southwest China.

Autori: Liu, Shilong Zhou, Tianlong Tan, Xiaocai a ďalší

Zdroj: Current Zoology. Apr2024, Vol. 70 Issue 2, p204-213. 10p.

Predmet: Stochastic processes, Bird communities, Deterministic processes, Resource allocation, Ecosystems

Geografický termín: China

A complex network perspective on brain disease.

Autori: Papo D Buldú JM

Zdroj: Biological reviews of the Cambridge Philosophical Society [Biol Rev Camb Philos Soc] 2025 Oct 15. Date of Electronic Publication: 2025 Oct 15.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Cambridge University Press Country of Publication: England NLM ID: 0414576 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1469-185X (Electronic) Linking ISSN: 00063231 NLM ISO Abbreviation: Biol Rev Camb Philos Soc Subsets: MEDLINE

Structure Learning Training and Cognitive Flexibility

Autori: University of Cambridge SH Annabel Chen, PhD, Professor

Prispievatelia: University of Cambridge SH Annabel Chen, PhD, Professor

Zdroj: Structure Learning Training and Cognitive Flexibility
Friedman NP, Miyake A. Unity and diversity of executive functions: Individual differences as a window on cognitive structure. Cortex. 2017 Jan;86:186-204. doi: 10.1016/j.cortex.2016.04.023. Epub 2016 May 10.
Dajani DR, Uddin LQ. Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience. Trends Neurosci. 2015 Sep;38(9):571-8. doi: 10.1016/j.tins.2015.07.003.
Uddin LQ. Cognitive and behavioural flexibility: neural mechanisms and clinical considerations. Nat Rev Neurosci. 2021 Mar;22(3):167-179. doi: 10.1038/s41583-021-00428-w. Epub 2021 Feb 3.
Karbach J, Kray J. How useful is executive control training? Age differences in near and far transfer of task-switching training. Dev Sci. 2009 Nov;12(6):978-90. doi: 10.1111/j.1467-7687.2009.00846.x.
Buttelmann F, Karbach J. Development and Plasticity of Cognitive Flexibility in Early and Middle Childhood. Front Psychol. 2017 Jun 20;8:1040. doi: 10.3389/fpsyg.2017.01040. eCollection 2017.
Kloo D, Perner J. Training transfer between card sorting and false belief understanding: helping children apply conflicting descriptions. Child Dev. 2003 Nov-Dec;74(6):1823-39. doi: 10.1046/j.1467-8624.2003.00640.x.
Wang R, Shen Y, Tino P, Welchman AE, Kourtzi Z. Learning predictive statistics from temporal sequences: Dynamics and strategies. J Vis. 2017 Oct 1;17(12):1. doi: 10.1167/17.12.1.
Wang R, Shen Y, Tino P, Welchman AE, Kourtzi Z. Learning Predictive Statistics: Strategies and Brain Mechanisms. J Neurosci. 2017 Aug 30;37(35):8412-8427. doi: 10.1523/JNEUROSCI.0144-17.2017. Epub 2017 Jul 31.
Karlaftis VM, Wang R, Shen Y, Tino P, Williams G, Welchman AE, Kourtzi Z. White-Matter Pathways for Statistical Learning of Temporal Structures. eNeuro. 2018 Jul 17;5(3):ENEURO.0382-17.2018. doi: 10.1523/ENEURO.0382-17.2018. eCollection 2018 May-Jun.
Karlaftis VM, Giorgio J, Vertes PE, Wang R, Shen Y, Tino P, Welchman AE, Kourtzi Z. Multimodal imaging of brain connectivity reveals predictors of individual decision strategy in statistical learning. Nat Hum Behav. 2019 Mar 1;3:297-307. doi: 10.1038/s41562-018-0503-4.
Giorgio J, Karlaftis VM, Wang R, Shen Y, Tino P, Welchman A, Kourtzi Z. Functional brain networks for learning predictive statistics. Cortex. 2018 Oct;107:204-219. doi: 10.1016/j.cortex.2017.08.014. Epub 2017 Aug 18.
Green CS, Bavelier D. Learning, attentional control, and action video games. Curr Biol. 2012 Mar 20;22(6):R197-206. doi: 10.1016/j.cub.2012.02.012.
Bock AM, Cartwright KB, McKnight PE, Patterson AB, Shriver AG, Leaf BM, Mohtasham MK, Vennergrund KC, Pasnak R. Patterning, Reading, and Executive Functions. Front Psychol. 2018 Sep 25;9:1802. doi: 10.3389/fpsyg.2018.01802. eCollection 2018.
Yeniad N, Malda M, Mesman J, Van IJzendoorn MH, Pieper S. Shifting ability predicts math and reading performance in children: A meta-analytical study. Learning and Individual Differences. 2013; 23:1-9.
Bock AM, Gallaway KC, Hund AM. Specifying links between executive functioning and theory of mind during middle childhood: Cognitive flexibility predicts social understanding. Journal of Cognition and Development. 2015;16(3):509-21.
Papic MM, Mulligan JT, Mitchelmore MC. Assessing the development of preschoolers' mathematical patterning. Journal for Research in Mathematics Education. 2011;42(3):237-68.
Liu CL, Cheng X, Choo BL, Hong M, Teo JL, Koo WL, Tan JYJ, Ubrani MB, Suckling J, Gulyas B, Leong V, Kourtzi Z, Sahakian B, Robbins T, Chen AS. Potential cognitive and neural benefits of a computerised cognitive training programme based on Structure Learning in healthy adults: study protocol for a randomised controlled trial. Trials. 2023 Aug 11;24(1):517. doi: 10.1186/s13063-023-07551-2.

High-order moment closure models with random batch method for efficient computation of multiscale turbulent systems.

Autori: Qi, Di Liu, Jian-Guo

Zdroj: Chaos; Oct2023, Vol. 33 Issue 10, p1-24, 24p

Predmety: PROBABILITY density function, DISTRIBUTION (Probability theory), DIRECT costing, REDUCED-order models, RAYLEIGH number, KALMAN filtering

Potential and Challenges of Investigating Intrinsic Uncertainty of Hydrological Models With Stochastic, Time‐Dependent Parameters.

Autori: Reichert, Peter Ammann, Lorenz Fenicia, Fabrizio

Zdroj: Water Resources Research; Mar2021, Vol. 57 Issue 3, p1-28, 28p

Predmety: STOCHASTIC models, UNCERTAINTY, STOCHASTIC processes, DISTRIBUTION (Probability theory), DIFFERENTIAL equations, AQUIFERS

Point Matching under Large Image Deformations and Illumination Changes.

Autori: Georgescu, Bogdan Meer, Peter

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Jun2004, Vol. 26 Issue 6, p674-688, 15p

Predmety: COMPLEX variables, IMAGE, GAUSSIAN processes, DISTRIBUTION (Probability theory), STOCHASTIC processes, ALGORITHMS

The Chemical Fluctuation Theorem governing gene expression.

Autori: Seong Jun Park Sanggeun Song Gil-Suk Yang a ďalší

Zdroj: Nature Communications; 1/19/2018, Vol. 9 Issue 1, p1-12, 12p

Predmety: GENE expression, STOCHASTIC processes, PHYSIOLOGICAL control systems, CRYSTAL field theory

Fractional-order stochastic delayed neural networks with impulses: mean square finite-time contractive synchronization.

Autori: Palanisamy G Kandasamy U Rihan FA a ďalší

Zdroj: Scientific reports [Sci Rep] 2025 Dec 10. Date of Electronic Publication: 2025 Dec 10.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

Autori: Antonius B. Dieker Steven T. Hackman

Typ zdroja: eBook.

Predmet: Stochastic systems--Mathematical models, Stochastic analysis

Kategórie: MATHEMATICS / Applied, MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Probability & Statistics / Stochastic Processes

Stochastic Quantization of the Phi-3-3-Model

Autori: Tadahiro Oh, Mamoru Okamoto, Leonardo Tolomeo

Typ zdroja: eBook.

Kategórie: MATHEMATICS / Probability & Statistics / Stochastic Processes

Attention-Based Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Bounds.

Autori: Avraham, Tamar Lindenbaum, Michael

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Feb2006, Vol. 28 Issue 2, p251-264, 14p

Predmety: ALGORITHMS, CLUSTER analysis (Statistics), STOCHASTIC processes, HYPOTHESIS, RANDOM variables, PROBABILITY theory

An SQP-Type Method and Its Application in Stochastic Programs.

Autori: Wei, Z. Qi, L. Chen, X.

Zdroj: Journal of Optimization Theory & Applications; Jan2003, Vol. 116 Issue 1, p205-228, 24p

Predmety: CONVEX sets, MATHEMATICAL complexes, STOCHASTIC convergence, APPROXIMATION theory, STOCHASTIC processes

Copula based multisite model for daily precipitation simulation.

Autori: Bárdossy, A. Pegram, G. G. S.

Zdroj: Hydrology & Earth System Sciences; 2009, Vol. 13 Issue 12, p2299-2314, 16p, 1 Diagram, 2 Charts, 21 Graphs, 1 Map

Predmety: PRECIPITATION (Chemistry), HYDROMETEOROLOGY, ENTROPY, DISTRIBUTION (Probability theory), STOCHASTIC processes

A Robust Structural PGN Model for Control of Cell-Cycle Progression Stabilized by Negative Feedbacks.

Autori: Trepode, Nestor Walter Armelin, Hugo Aguirre Bittner, Michael a ďalší

Zdroj: EURASIP Journal on Bioinformatics & Systems Biology; 2007 Special Issue, p1-11, 11p, 2 Diagrams, 4 Charts, 6 Graphs

Predmety: PROBABILITY theory, CELL cycle, BIOLOGICAL rhythms, CELL division, PACEMAKER cells, GENETICS

Comparison of two stochastic techniques for reliable urban runoff prediction by modeling systematic errors.

Autori: Del Giudice, Dario Löwe, Roland Madsen, Henrik a ďalší

Zdroj: Water Resources Research; Jul2015, Vol. 51 Issue 7, p5004-5022, 19p

Predmety: RAINFALL, RUNOFF, HYDROLOGIC cycle, STOCHASTIC processes, PROBABILITY theory

Variational Maximum A Posteriori by Annealed Mean Field Analysis.

Autori: Hua, Gang Wu, Ying

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Nov2005, Vol. 27 Issue 11, p1747-1761, 15p

Predmety: STOCHASTIC systems, SYSTEM analysis, GAUSSIAN processes, DISTRIBUTION (Probability theory), STOCHASTIC processes, MATHEMATICAL models

Noise and Signal Estimation in Magnitude MRI and Rician Distributed Images: A LMMSE Approach.

Autori: Aja-Fernández, Santiago Alberola-López, Carlos Westin, Carl-Fredrik

Zdroj: IEEE Transactions on Image Processing; Aug2008, Vol. 17 Issue 8, p1383-1398, 16p

Predmety: DISTRIBUTION (Probability theory), MAGNETIC resonance imaging, MAGNETIC fields, STOCHASTIC processes, MATHEMATICAL statistics, LEAST squares, DIGITAL image processing, RAYLEIGH scattering