Guide to Research Techniques in Neuroscience

Front Cover
Academic Press, 2010 - Medical - 376 pages
0 Reviews
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

What people are saying - Write a review

We haven't found any reviews in the usual places.

Other editions - View all

About the author (2010)

Matt Carter is currently Assistant Professor of Biology at Williams College. His previous position was as a post-doctoral fellow in Richard Palmiter's lab at the University of Washington using optogenetic techniques to study neural circuitry. He has authored the first edition of this book (Elsevier, 2009) as well as Designing Science Presentations: A Visual Guide to Figures, Papers, Slides, Posters, and More (Elsevier, 2012). He was the awardee of Stanford University's Walter J. Gores Award for Excellence in Teaching, and two-time recipient of the Stanford School of Medicine's Excellence in Teaching Award. He currently teaches courses at Williams in both Topics in Neuroscience as well as Neural Systems and Circuits.

Former: carterme@u.washington.edu

Jennifer Shieh is currently a AAAS Science & Technology Policy Fellow at the NIH working with the National Cancer Institute (NCI) Small Business Innovation Research (SBIR) Development Center. She co-authored the first edition of this book (Elsevier, 2009), and was awarded the Hans-Lukas Teuber Award for Outstanding Research and Academics in Brain and Cognitive Sciences, and the MIT Department of Brain and Cognitive Sciences Award for Outstanding Scholarship and BCS Contributions.

Bibliographic information