This fresh, new textbook provides a thorough and student-friendly guide to the different techniques used in cognitive neuroscience. Given the breadth of neuroimaging techniques available today, this text is invaluable, serving as an approachable text for students, researchers, and writers. This text provides the right level of detail for those who wish to understand the basics of neuroimaging and also provides more advanced material in order to learn further about particular techniques.
With a conversational, student-friendly writing style, Aaron Newman introduces the key principles of neuroimaging techniques, the relevant theory and the recent changes in the field.
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An excellent and much-needed textbook on research methods for cognitive neuroscience, for the breadth and depth of the techniques, covered. Written in a clear, approachable style, that is easy for even beginning students to digest. This is a book of value that students and professors alike will enjoy reading.
Author: Dr Joanne Powell Published On: 2019-02-06This well-written textbook by Aaron Newman enriches the literature by covering key concepts in research methods for cognitive neuroscience. The book follows a logical progression and covers the main neuroimaging techniques, thus constituting an excellent resource for anyone interested in cognitive neuroscience research and practice. The layout and organisation of each chapter are excellent, there are plenty of visually appealing images throughout and an excellent summary at the end of each chapter.
Author: Edson Filho Published On: 2019-02-15Aaron Newman′s book provides a comprehensive and in-depth, yet easy to read, tour de force across different research methods for Cognitive Neuroscience. This book is not only an indispensable tool for undergraduate students. It is also a valuable source for any neuroscientist, offering an excellent overview of quantitative methodologies in the field.
Author: Conrado A. Bosman, Assistant Professor Published On: 2019-02-19Overall, this is an outstanding textbook for several reasons.
First, the author has an elegant and yet simple writing. Second, the comprehensive scope of this textbook is simply amazing, such is the complexity of each of the research techniques in focus (i.e., it is extremely difficult to handle all those with expertise). Third, the book structure presents a logic increment in complexity. Aaron Newman integrates seemingly "hard to grasp" computations in a concise style, while providing unique suggestions on experimental design features and data acquisition and analysis. Such methodological concerns tapping the reader’s hands-on-skills are highly meritorious and should appeal to most researchers in the field.
Finally, the textbook layout is impeccable. The "box inlets" at the beginning of each chapter (learning objectives) are quite useful since they help the reader throughout the chapter, eventually pinpointing contents that may merit further study. In addition, the broad summary and "further readings" suggestions at the end of each chapter help to provide awareness of the learning process. A stylish artwork and excellent figures both contribute to top up this edition.
I believe this textbook will soon become an authoritative resource for both graduate students and experienced researchers in the field.
Author: Amadeu Quelhas Martins, Ph.D. Published On: 2019-03-07"About this title" may belong to another edition of this title.
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