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Nonlinear Dynamics in Computational Neuroscience

This book provides an essential overview of computational neuroscience. It addresses a broad range of aspects, from physiology to nonlinear;

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Dynamical Systems in Neuroscience

Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept;

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Computational Methods for Nonlinear Dynamical Systems

Computational Methods for Nonlinear Dynamical Systems: Theory and Applications in Aerospace Engineering proposes novel ideas and;

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Nonlinear Science and Complexity

. It focuses on fundamental theories and principles, analytical and symbolic approaches, computational techniques in nonlinear physics and;

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Intelligence For Nonlinear Dynamics And Synchronization

breakthroughs, the chapters in the book focus on theoretical, experimental and computational aspects of recent advances in nonlinear science intertwined;

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Mathematical Neuroscience

integrative way. It is the first research monograph devoted exclusively to the theory and methods of nonlinear analysis of infinite systems based on;

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Computational Continuum Mechanics

This book presents the nonlinear theory of continuum mechanics and demonstrates its use in developing nonlinear computer formulations for;

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Computational Continuum Mechanics

This book presents the nonlinear theory of continuum mechanics and demonstrates its use in developing nonlinear computer formulations for;

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Neural Control Engineering

How powerful new methods in nonlinear control engineering can be applied to neuroscience, from fundamental model formulation to advanced;

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Applied Nonlinear Dynamics: Analytical, Computational, and Experimental Methods

revival of interest in nonlinear dynamics. Applied Nonlinear Dynamics provides a coherent and unified treatment of analytical, computational, and;

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Nonlinear Dynamics in Biological Systems

This book presents recent research results relating to applications of nonlinear dynamics, focusing specifically on four topics of wide;

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Recent Advances in Nonlinear Dynamics and Synchronization

This book focuses on modelling and simulation, control and optimization, signal processing, and forecasting in selected nonlinear dynamical;

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Perspectives of Nonlinear Dynamics

The dynamics of physical, chemical, biological, or fluid systems generally must be described by nonlinear models, whose detailed;

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MEMS Linear and Nonlinear Statics and Dynamics

MEMS Linear and Nonlinear Statics and Dynamics presents the necessary analytical and computational tools for MEMS designers to model and;

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Dynamics and Control of Trajectory Tubes

approach to nonlinear and nonconvex systems. The main theoretical results lead to computational schemes based on extensions of ellipsoidal calculus;

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Cellular Biophysics and Modeling

What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear;

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Cellular Biophysics and Modeling

What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear;

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Introduction to Nonlinear Oscillations

introduction to fundamental notions and concepts of modern nonlinear dynamics, the text goes on to set out the basics of stability theory, as well as;

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Economic Dynamics

A rigorous and example-driven introduction to topics in economic dynamics, with an emphasis on mathematical and computational techniques;

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Railroad Vehicle Dynamics

The methods of computational mechanics have been used extensively in modeling many physical systems. The use of multibody-system techniques;

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Wavelets in Neuroscience

experimental techniques and computational approaches developed since 2015, and includes three new topics: * Detection of fEPSPs in multielectrode;

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Principles of Brain Dynamics

is the continuous change of the underlying brain states even in a constant environment. The application of nonlinear dynamics to the study;

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Nonlinear Dynamics, Volume 1

Nonlinear Dynamics, Volume 1: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics, 2017, the first volume;

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Pattern Formation In The Physical And Biological Sciences

self-organization by simulated evolution, nonlinear dynamics of pattern formation in physics and biology, and the emergence of computational;

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Pattern Formation In The Physical And Biological Sciences

self-organization by simulated evolution, nonlinear dynamics of pattern formation in physics and biology, and the emergence of computational;

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Neuronal Dynamics

conductance-based model of Hodgkin-Huxley, its simplified version of FitzHugh-Nagumo and nonlinear integrate-and-fire models are discussed. Moreover;

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Homogeneous Turbulence Dynamics

are illustrated using computational and experimental results, while both linear and nonlinear theories and closures are discussed. Details;

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