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This volume presents peer-reviewed surveys on new developments in the study of Lyapunov exponents in dynamical systems and its applications to other areas, such as mathematical physics. Written by leading experts in their fields, the contributions are based upon the presentations given by invited speakers at the “New Trends in Lyapunov Exponents” workshop held in Lisbon, Portugal, February 7–11, 2022. The works focus on the concept of Lyapunov exponents in their various manifestations in dynamical systems along with their applications to mathematical physics and other areas of mathematics. The papers reflect the spirit of the conference of promoting new connections among different subjects in dynamical systems. This volume aims primarily at researchers and graduate students working in dynamical systems and related fields, serving as an introduction to active fields of research and as a review of recent results as well.
Dynamical systems. --- Mathematical physics. --- Mathematics. --- Dynamical Systems. --- Mathematical Physics. --- Applications of Mathematics. --- Exponents de Lyapunov
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Sistemes dinàmics diferenciables --- Dinàmica diferencial --- Exponents de Lyapunov --- Fluxos (Sistemes dinàmics diferenciables) --- Sistemes dinàmics aleatoris --- Sistemes dinàmics complexos --- Sistemes dinàmics hiperbòlics --- Sistemes hamiltonians --- Teoria de la bifurcació --- Dinàmica topològica --- Differentiable dynamical systems --- Data processing. --- Mathematical models. --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Dinàmica combinatòria
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Differentiable dynamical systems. --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Sistemes dinàmics diferenciables --- Dinàmica diferencial --- Dinàmica combinatòria --- Exponents de Lyapunov --- Fluxos (Sistemes dinàmics diferenciables) --- Sistemes dinàmics aleatoris --- Sistemes dinàmics complexos --- Sistemes dinàmics hiperbòlics --- Sistemes hamiltonians --- Teoria de la bifurcació --- Dinàmica topològica
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Differentiable dynamical systems. --- Sistemes dinàmics diferenciables --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Dinàmica diferencial --- Dinàmica combinatòria --- Exponents de Lyapunov --- Fluxos (Sistemes dinàmics diferenciables) --- Sistemes dinàmics aleatoris --- Sistemes dinàmics complexos --- Sistemes dinàmics hiperbòlics --- Sistemes hamiltonians --- Teoria de la bifurcació --- Dinàmica topològica
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Mathematics --- Classical mechanics. Field theory --- Planning (firm) --- mathematische modellen --- wiskunde --- dynamica --- Differentiable dynamical systems --- Sistemes dinàmics diferenciables --- Dinàmica diferencial --- Dinàmica combinatòria --- Exponents de Lyapunov --- Fluxos (Sistemes dinàmics diferenciables) --- Sistemes dinàmics aleatoris --- Sistemes dinàmics complexos --- Sistemes dinàmics hiperbòlics --- Sistemes hamiltonians --- Teoria de la bifurcació --- Dinàmica topològica
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Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both neuroscience and mathematics and illustrated using geometrical intuition. In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamical systems theory for researchers and graduate students in neuroscience. It also provides an overview of neuroscience for mathematicians who want to learn the basic facts of electrophysiology. Dynamical Systems in Neuroscience presents a systematic study of the relationship of electrophysiology, nonlinear dynamics, and computational properties of neurons. It emphasizes that information processing in the brain depends not only on the electrophysiological properties of neurons but also on their dynamical properties. The book introduces dynamical systems, starting with one- and two-dimensional Hodgkin-Huxley-type models and continuing to a description of bursting systems. Each chapter proceeds from the simple to the complex, and provides sample problems at the end. The book explains all necessary mathematical concepts using geometrical intuition; it includes many figures and few equations, making it especially suitable for non-mathematicians. Each concept is presented in terms of both neuroscience and mathematics, providing a link between the two disciplines. Nonlinear dynamical systems theory is at the core of computational neuroscience research, but it is not a standard part of the graduate neuroscience curriculum--or taught by math or physics department in a way that is suitable for students of biology. This book offers neuroscience students and researchers a comprehensive account of concepts and methods increasingly used in computational neuroscience. An additional chapter on synchronization, with more advanced material, can be found at the author's website, www.izhikevich.com.
Differentiable dynamical systems. --- Neurology. --- Neurons. --- Neurosciences. --- Models, Neurological --- Neurons --- Neurosciences --- Models, Neurological. --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Nerve cells --- Neurocytes --- Neural sciences --- Neurological sciences --- Neuroscience --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Cells --- Nervous system --- Medicine --- Neuropsychiatry --- Medical sciences --- Diseases --- Differentiable dynamical systems --- Neurology --- NEUROSCIENCE/General --- Neurologia --- Electrofisiologia --- Sistemes dinàmics diferenciables --- Electricitat animal --- Electrobiologia --- Fisiologia --- Anestèsia elèctrica --- Circuit neuronal --- Electrocardiografia --- Electroencefalografia --- Músculs --- Potencials evocats (Electrofisiologia) --- Medicina --- Inhibició --- Neurocirurgia --- Neurooftalmologia --- Neuroimmunologia --- Neurologia pediàtrica --- Neurologia geriàtrica --- Neurologia veterinària --- Psicofisiologia --- Psicopatologia --- Urgències en neurologia --- Neuròlegs --- Dinàmica diferencial --- Exponents de Lyapunov --- Fluxos (Sistemes dinàmics diferenciables) --- Sistemes dinàmics aleatoris --- Sistemes dinàmics complexos --- Sistemes dinàmics hiperbòlics --- Sistemes hamiltonians --- Teoria de la bifurcació --- Dinàmica topològica --- Dinàmica combinatòria
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Differentiable dynamical systems. --- Differential equations, Partial. --- Geometry, Differential. --- Sistemes dinàmics diferenciables --- Equacions en derivades parcials --- Geometria diferencial --- Geometria --- Càlcul de tensors --- Connexions (Matemàtica) --- Coordenades --- Corbes --- Cossos convexos --- Dominis convexos --- Espais de curvatura constant --- Espais simètrics --- Estructures hermitianes --- Formes diferencials --- G-estructures --- Geodèsiques (Matemàtica) --- Geometria de Riemann --- Geometria diferencial global --- Geometria integral --- Geometria simplèctica --- Hiperespai --- Subvarietats (Matemàtica) --- Topologia diferencial --- Varietats (Matemàtica) --- Varietats de Kähler --- EDPs --- Equació diferencial en derivades parcials --- Equacions diferencials en derivades parcials --- Equacions diferencials parcials --- Equacions diferencials --- Dispersió (Matemàtica) --- Equació d'ona --- Equació de Dirac --- Equació de Fokker-Planck --- Equació de Schrödinger --- Equacions de Navier-Stokes --- Equacions de Hamilton-Jacobi --- Equacions de Maxwell --- Equacions de Monge-Ampère --- Equacions de Von Kármán --- Equacions diferencials el·líptiques --- Equacions diferencials hiperbòliques --- Equacions diferencials parabòliques --- Equacions diferencials parcials estocàstiques --- Funcions harmòniques --- Laplacià --- Problema de Cauchy --- Problema de Neumann --- Teoria espectral (Matemàtica) --- Dinàmica diferencial --- Dinàmica combinatòria --- Exponents de Lyapunov --- Fluxos (Sistemes dinàmics diferenciables) --- Sistemes dinàmics aleatoris --- Sistemes dinàmics complexos --- Sistemes dinàmics hiperbòlics --- Sistemes hamiltonians --- Teoria de la bifurcació --- Dinàmica topològica --- Differential geometry --- Partial differential equations --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics
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