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Computational Modeling in Cognition

Computational Modeling in Cognition
Author: Stephan Lewandowsky
Publisher: SAGE
Total Pages: 377
Release: 2010-11-29
Genre: Psychology
ISBN: 1452236194

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An accessible introduction to the principles of computational and mathematical modeling in psychology and cognitive science This practical and readable work provides students and researchers, who are new to cognitive modeling, with the background and core knowledge they need to interpret published reports, and develop and apply models of their own. The book is structured to help readers understand the logic of individual component techniques and their relationships to each other.


Computational Modeling of Cognition and Behavior

Computational Modeling of Cognition and Behavior
Author: Simon Farrell
Publisher: Cambridge University Press
Total Pages: 485
Release: 2018-02-22
Genre: Psychology
ISBN: 110710999X

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This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models.


Computational Modeling

Computational Modeling
Author: Gregory Rago
Publisher:
Total Pages: 0
Release: 2016-05-30
Genre: Computers
ISBN: 9781682850695

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Computer-based simulation is one of the most preferred methods of studying a system today. The primary goal of this book is to collaborate the latest research in this discipline. The topics included in this book on computational modeling are elaborate discussions on many applications of computational modeling, such as three dimensional technology, fuzzy logic, cloud computing, visualization, virtual machines, etc. which are of utmost significance and are bound to provide incredible insights to readers. This book will be an apt reference for a wide variety of readers including students, researchers and academicians.


Computational Modeling And Simulations Of Biomolecular Systems

Computational Modeling And Simulations Of Biomolecular Systems
Author: Benoit Roux
Publisher: World Scientific
Total Pages: 209
Release: 2021-08-23
Genre: Computers
ISBN: 9811232776

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This textbook originated from the course 'Simulation, Modeling, and Computations in Biophysics' that I have taught at the University of Chicago since 2011. The students typically came from a wide range of backgrounds, including biology, physics, chemistry, biochemistry, and mathematics, and the course was intentionally adapted for senior undergraduate students and graduate students. This is not a highly technical book dedicated to specialists. The objective is to provide a broad survey from the physical description of a complex molecular system at the most fundamental level, to the type of phenomenological models commonly used to represent the function of large biological macromolecular machines.The key conceptual elements serving as building blocks in the formulation of different levels of approximations are introduced along the way, aiming to clarify as much as possible how they are interrelated. The only assumption is a basic familiarity with simple mathematics (calculus and integrals, ordinary differential equations, matrix linear algebra, and Fourier-Laplace transforms).


Computational Modeling of Genetic and Biochemical Networks

Computational Modeling of Genetic and Biochemical Networks
Author: James M. Bower
Publisher: MIT Press
Total Pages: 386
Release: 2001
Genre: Computers
ISBN: 9780262524230

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How new modeling techniques can be used to explore functionally relevant molecular and cellular relationships.


Introduction to Elementary Computational Modeling

Introduction to Elementary Computational Modeling
Author: Jose Garrido
Publisher: CRC Press
Total Pages: 331
Release: 2011-10-26
Genre: Mathematics
ISBN: 1439867399

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With an emphasis on problem solving, this book introduces the basic principles and fundamental concepts of computational modeling. It emphasizes reasoning and conceptualizing problems, the elementary mathematical modeling, and the implementation using computing concepts and principles. Examples are included that demonstrate the computation and visualization of the implemented models. The author provides case studies, along with an overview of computational models and their development. The first part of the text presents the basic concepts of models and techniques for designing and implementing problem solutions. It applies standard pseudo-code constructs and flowcharts for designing models. The second part covers model implementation with basic programming constructs using MATLAB®, Octave, and FreeMat. Aimed at beginning students in computer science, mathematics, statistics, and engineering, Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and Problem Solving focuses on fundamentals, helping the next generation of scientists and engineers hone their problem solving skills.


Computational Modeling

Computational Modeling
Author: Charles S. Taber
Publisher: SAGE
Total Pages: 108
Release: 1996-03-21
Genre: Computers
ISBN: 9780803972704

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In this introduction to computational modelling the authors provide a concise description of computational methods, including dynamic simulation, knowledge-based models and machine learning, as a single broad class of research tools.


Principles of Computational Modelling in Neuroscience

Principles of Computational Modelling in Neuroscience
Author: David Sterratt
Publisher: Cambridge University Press
Total Pages: 553
Release: 2023-10-05
Genre: Science
ISBN: 1108483143

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Learn to use computational modelling techniques to understand the nervous system at all levels, from ion channels to networks.


Artificial Intelligence for Computational Modeling of the Heart

Artificial Intelligence for Computational Modeling of the Heart
Author: Tommaso Mansi
Publisher: Academic Press
Total Pages: 274
Release: 2019-12
Genre: Science
ISBN: 012817594X

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Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications. Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation


Computational Modeling and Visualization of Physical Systems with Python

Computational Modeling and Visualization of Physical Systems with Python
Author: Jay Wang
Publisher: John Wiley & Sons
Total Pages: 986
Release: 2015-12-21
Genre: Science
ISBN: 1119239885

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Computational Modeling, by Jay Wang introduces computational modeling and visualization of physical systems that are commonly found in physics and related areas. The authors begin with a framework that integrates model building, algorithm development, and data visualization for problem solving via scientific computing. Through carefully selected problems, methods, and projects, the reader is guided to learning and discovery by actively doing rather than just knowing physics.