The Student's Guide to Cognitive Neuroscience (Anglais) Broché – 4 mai 2006
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Présentation de l'éditeur
Reflecting recent changes in the way cognition and the brain are studied, this book provides a comprehensive and student-friendly guide to cognitive neuroscience. Following an introduction to neural structure and function, all the key methods and procedures of cognitive neuroscience are explained, with a view to helping students understand how they can be used to shed light on the neural basis of cognition.
The second part of the book goes on to present an up-to-date overview of the latest theories and findings in all the key topics in cognitive neuroscience, including vision, attention, memory, speech and language, numeracy, executive function and social and emotional behaviour. Throughout, case studies, newspaper reports and everyday examples are used to provide an easy way in to understanding the more challenging ideas that underpin the subject.
In addition each chapter includes:
- Summaries of key terms and points
- Example essay questions to aid exam preparation
- Recommended further reading
- Feature boxes exploring interesting and popular questions and their implications for the subject.
Written in an engaging style by a leading researcher in the field, this book will be invaluable as a core text for undergraduate modules in cognitive neuroscience. It can also be used as a key text on courses in cognition, cognitive neuropsychology or brain and behaviour. Those embarking on research will find it an invaluable starting point and reference.
We offer CD-ROM-based resources free of charge to instructors who recommend The Student's Guide to Cognitive Neuroscience by Jamie Ward. These resources include:
- A chapter-by-chapter, illustrated slideshow lecture course
- An innovative bank of multiple-choice questions, graded according to difficulty and which allow for confidence-weighted answers
- Comprehensive lecture planning advice tailored to different length courses.
Jamie Ward has researched and taught extensively in many areas of cognitive neuroscience. He is a leading authority on the subject of synaesthesia and has contributed to a wider understanding of it in both academic and lay circles.
Biographie de l'auteur
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Commentaires client les plus utiles sur Amazon.com
This book fills that need, and could be read not only by students who are entering the field of cognitive neuroscience but by those, who, like this reviewer, are very interested in the field. The small size of the book already dictates that much of it will read like a literature review, with pointers to many references, but the author gives enough detail to allow the reader to appreciate the subject matter. Readers who crave more in-depth coverage can consult the many references that are given in the book.
Everything about cognitive neuroscience is fascinating, and there are new surprises coming out of the laboratories on a daily basis. Some of the more recent ones, particularly those that make use of functional MRI and TMS are discussed in this book. The author also includes an historical introduction that puts the field in its proper context, and also serves to distinguish it from more speculative approaches that one finds in philosophy departments around the world. Particularly interesting because of its importance in artificial intelligence is the discussion in this introduction of domain specificity and modularity.
But the functions of the brain, whether they are localized or modularized, are characterized in cognitive neuroscience by studying individuals who show impairment of these functions. The author characterizes this strategy as being a compromise between that of (classical) neuro-psychology, which favors group studies, and cognitive neuro-psychology that favors single case studies. Typically it is lesions that cause impairments of cognitive processes, and it is quite surprising sometimes to learn to what degree these impairments are disentangled from other "nearby" brain processes. In this regard the author discusses `double dissociation' between cognitive/neural processes. Even more interesting because of its importance in artificial intelligence is the notion of `dual-task interference' wherein two tasks share the same cognitive processes. A better name for this might be the "entanglement" between two tasks, and it is the opinion of this reviewer that the study of the degree to which two tasks cannot be performed independently of one another is of utmost importance in understanding the brain as a computational machine.
The only one I suggest to add is that show more experiments is better.