Mike X Cohen

Mike X Cohen is Assistant Professor in the Donders Institute for Brain, Cognition, and Behavior at the Radboud University and University Medical Center, Nijmegan, the Netherlands. He is the author of Analyzing Neural Time Series Data: Theory and Practice (MIT Press).

  • MATLAB for Brain and Cognitive Scientists

    MATLAB for Brain and Cognitive Scientists

    Mike X Cohen

    An introduction to a popular programming language for neuroscience research, taking the reader from beginning to intermediate and advanced levels of MATLAB programming.

    MATLAB is one of the most popular programming languages for neuroscience and psychology research. Its balance of usability, visualization, and widespread use makes it one of the most powerful tools in a scientist's toolbox. In this book, Mike Cohen teaches brain scientists how to program in MATLAB, with a focus on applications most commonly used in neuroscience and psychology. Although most MATLAB tutorials will abandon users at the beginner's level, leaving them to sink or swim, MATLAB for Brain and Cognitive Scientists takes readers from beginning to intermediate and advanced levels of MATLAB programming, helping them gain real expertise in applications that they will use in their work.

    The book offers a mix of instructive text and rigorous explanations of MATLAB code along with programming tips and tricks. The goal is to teach the reader how to program data analyses in neuroscience and psychology. Readers will learn not only how to but also how not to program, with examples of bad code that they are invited to correct or improve. Chapters end with exercises that test and develop the skills taught in each chapter. Interviews with neuroscientists and cognitive scientists who have made significant contributions their field using MATLAB appear throughout the book. MATLAB for Brain and Cognitive Scientists is an essential resource for both students and instructors, in the classroom or for independent study.

    • Hardcover $50.00 £40.00
  • Analyzing Neural Time Series Data

    Analyzing Neural Time Series Data

    Theory and Practice

    Mike X Cohen

    A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings.

    This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists.

    Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the “analyze now” button.

    The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.

    • Hardcover $70.00 £54.00

Contributor

  • Neural Basis of Motivational and Cognitive Control

    Neural Basis of Motivational and Cognitive Control

    Rogier B. Mars, Jérôme Sallet, Matthew F. S. Rushworth, and Nick Yeung

    A multidisciplinary overview of key approaches in the study of cognitive control and decision making.

    This volume offers a range of perspectives on a simple problem: How does the brain choose efficiently and adaptively among options to ensure coherent, goal-directed behavior? The contributors, from fields as varied as anatomy, psychology, learning theory, neuroimaging, neurophysiology, behavioral economics, and computational modeling, present an overview of key approaches in the study of cognitive control and decision making. The book not only presents a survey of cutting-edge research on the topic, it also provides a handbook useful to psychologists, biologists, economists, and neuroscientists alike.

    The contributors consider such topics as the anatomical and physiological basis of control, examining core components of the control system, including contributions of the cerebral cortex, the ways in which subcortical brain regions underpin the control functions of the cortex, and neurotransmitter systems; variations in control seen in the development from adolescence to adulthood, in healthy adults, and in patient populations; recent developments in computational approaches, including reinforcement learning; and overarching trends in the current literature, including neuroeconomics, social decision making, and model-based approaches to data from neuroimaging and electrophysiology.

    • Hardcover $55.00 £43.00