Guide To Research Techniques In Neuroscience
Download Guide To Research Techniques In Neuroscience PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Guide To Research Techniques In Neuroscience book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Guide to Research Techniques in Neuroscience
Modern neuroscience research is inherently multidisciplinary, with a wide variety of cutting edge new techniques to explore multiple levels of investigation. This Third Edition of Guide to Research Techniques in Neuroscience provides a comprehensive overview of classical and cutting edge methods including their utility, limitations, and how data are presented in the literature. This book can be used as an introduction to neuroscience techniques for anyone new to the field or as a reference for any neuroscientist while reading papers or attending talks. - Nearly 200 updated full-color illustrations to clearly convey the theory and practice of neuroscience methods - Expands on techniques from previous editions and covers many new techniques including in vivo calcium imaging, fiber photometry, RNA-Seq, brain spheroids, CRISPR-Cas9 genome editing, and more - Clear, straightforward explanations of each technique for anyone new to the field - A broad scope of methods, from noninvasive brain imaging in human subjects, to electrophysiology in animal models, to recombinant DNA technology in test tubes, to transfection of neurons in cell culture - Detailed recommendations on where to find protocols and other resources for specific techniques - "Walk-through" boxes that guide readers through experiments step-by-step
Guide to Research Techniques in Neuroscience
Neuroscience is, by definition, a multidisciplinary field: some scientists study genes and proteins at the molecular level while others study neural circuitry using electrophysiology and high-resolution optics. A single topic can be studied using techniques from genetics, imaging, biochemistry, or electrophysiology. Therefore, it can be daunting for young scientists or anyone new to neuroscience to learn how to read the primary literature and develop their own experiments. This volume addresses that gap, gathering multidisciplinary knowledge and providing tools for understanding the neuroscience techniques that are essential to the field, and allowing the reader to design experiments in a variety of neuroscience disciplines. - Written to provide a "hands-on" approach for graduate students, postdocs, or anyone new to the neurosciences - Techniques within one field are compared, allowing readers to select the best techniques for their own work - Includes key articles, books, and protocols for additional detailed study - Data analysis boxes in each chapter help with data interpretation and offer guidelines on how best to represent results - Walk-through boxes guide readers step-by-step through experiments
Guide to Research Techniques in Neuroscience
Neuroscience is by definition a multidisciplinary field: some scientists study genes and proteins at the molecular level while others study neural circuitry. A single topic such as the auditory system can be studied using techniques from genetics, imaging, biochemistry, or electrophysiology. A young scientist must learn how to read the primary literature and then develop their own experiments. This book offers that scientist an overview of mainstream research techniques, provides guidelines on how to choose one technique over another, offers tips on analyzing data, and provides a list of references for additional detailed study. This book can also assist an experienced scientist understand published studies conducted outside their own subfield.*Written by Stanford University graduate students in neuroscience to provide a "hands-on" approach for other neuroscience graduate students *Techniques within one field will be compared so that user can select best technique for their experiment *Chapters include references (key articles, books, protocols) for additional detailed study *Data Analysis boxes in each chapter help with data interpretation and offer guidelines on how best to represent results *"Walk-through" boxes guide students through the experiment step-by-step