MATLAB for neuroscientists : an introduction to scientific computing in MATLAB / Pascal Wallisch [and five others].

Format:

Book

Author/Creator:

Wallisch, Pascal, 1978- author.

Contributor:

Wallisch, Pascal.

Series:

Gale eBooks

Language:

English

Subjects (All):

MATLAB.

Neurosciences--Data processing.

Neurosciences.

Physical Description:

1 online resource (xx, 550 pages) : illustrations (some color)

Edition:

Second edition.

Place of Publication:

London : Academic Press, 2014.

Language Note:

English

System Details:

text file

Summary:

MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition continues to ensure that many computational problems can be addressed in a single programming environment. This updated edition features additional material on the crea

Contents:

Front Cover; MATLAB® for Neuroscientists; Copyright Page; Contents; Preface to the First Edition; Preface to the Second Edition; About the Authors; How to Use this Book; Structural and Conceptual Considerations; Layout and Style; Companion Web Site; I: Fundamentals; 1 Introduction; 2 MATLAB Tutorial; 2.1 Goal of this Chapter; 2.2 Purpose and Philosophy of MATLAB; 2.2.1 Getting Started; 2.2.2 MATLAB as a Calculator; 2.2.3 Defining Matrices; 2.2.4 Basic Matrix Algebra; 2.2.5 Indexing; 2.3 Graphics and Visualization; 2.3.1 Basic Visualization; 2.4 Function and Scripts; 2.4.1 Scripts

2.4.2 Functions2.4.3 Control Structures; 2.4.4 Advanced Plotting; 2.4.5 Interactive Programs; 2.5 Data Analysis; 2.5.1 Importing and Storing Data; 2.6 A Word on Function Handles; 2.7 The Function Browser; 2.8 Summary; MATLAB Functions, Commands, and Operators Covered in This Chapter; 3 Mathematics and Statistics Tutorial; 3.1 Introduction; 3.2 Linear Algebra; 3.2.1 Matrices, Vectors, and Arrays; 3.2.2 Transposition; 3.2.3 Addition; 3.2.4 Scalar Multiplication; 3.2.5 Matrix Multiplication; 3.2.6 Geometrical Interpretation of Matrix Multiplication; 3.2.7 The Determinant

3.2.8 Eigenvalues and Eigenvectors3.2.9 Applications of Eigenvectors: Eigendecomposition; 3.2.10 Applications of Eigenvectors: PCA; 3.3 Probability and Statistics; 3.3.1 Introduction; 3.3.2 Random Variables; 3.3.2.1 Sample Estimates of Population Parameters; 3.3.2.2 Joint and Conditional Probabilities; 3.3.3 The Poisson Distribution; 3.3.4 Normal Distribution; 3.3.5 Confidence Values; 3.3.6 Significance Testing; 3.3.6.1 Student's t Distribution; 3.3.6.2 ANOVA Testing; 3.3.7 Linear Regression; 3.3.8 Introduction to Bayesian Reasoning; 3.3.9 Outlook

MATLAB Functions, Commands, and Operators Covered in This Chapter4 Programming Tutorial: Principles and Best Practices; 4.1 Goals of this Chapter; 4.2 Organizing Code; 4.2.1 A Few Words about Maintenance; 4.2.2 Variables and How to Name Them; 4.2.3 Understanding Scope; 4.2.4 Script or Function?; 4.2.5 The Art of Commenting; 4.3 Organizing More Code: Bigger Projects; 4.3.1 Why Reuse Code?; 4.3.2 Coupling and Cohesion; 4.3.3 Separation of Concerns; 4.3.4 Limiting Side Effects, or the Perils of Global State; 4.3.5 Objects; 4.3.5.1 Creating Objects; 4.3.5.2 Inheritance

4.3.5.3 Passing Objects Around: The Handle Class4.3.5.4 Summary; 4.4 Taming Errors; 4.4.1 An Introduction to the Debugger; 4.4.2 Logging; 4.4.3 Edge Cases and Unit Testing; 4.4.4 A Few Words about Precision; 4.4.5 Suggestions for Optimization; 4.4.5.1 Vectorizing Matrix Operations; 4.4.5.2 Conditional Expressions; 4.4.5.3 Extracting Subsets from Arrays; MATLAB Functions, Commands, and Operators Covered in This Chapter; 5 Visualization and Documentation Tutorial; 5.1 Goals of This Chapter; 5.2 Visualization; 5.3 Documentation; MATLAB Functions, Commands, and Operators Covered in This Chapter

II: Data Collection with MATLAB

Notes:

"Elsevier science and technology books."

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (ebrary, viewed November 14, 2013).

ISBN:

9780123838377

0123838371

OCLC:

867735188