Description
Fully revised edition of the cellular and molecular neuroscience textbook intended for graduate and medical students
About the Author
The June and Virgil Waggoner Professor and Chair, Department of Neurobiology and Anatomy, University of Texas Medical School at Houston. Dr. Byrne is an internationally acclaimed Neuroscientist. He received his PhD under the direction of Noble Prize winner, Eric Kandel. Dr. Byrne is a prolific author and Editor-in-Chief of Learning and Memory (CSHP). Professor, Department of Neurobiology and Anatomy, University of Texas Medical School at Houston. Dr. Heidelberger is an accomplished cellular neurophysiologist specializing in mechanisms of neurotransmitter release. She received her doctoral training under the guidance of Gary Matthews and her postdoctoral training under the direction of Nobel Laureate Erwin Neher. Dr. Heidelberger is a former president and executive board member of the Biophysical Society's Subgroup on Exocytosis and Endocytosis and serves on the editorial board of the Journal of Neurophysiology. She has directed and taught graduate-level courses in cellular neurophysiology and membrane biophysics for more than a decade. The William Wheless III Professor, Department of Neurobiology and Anatomy, University of Texas Medical School at Houston. Dr. Waxham's multi-disciplinary laboratory focuses on the molecular and cellular mechanisms of synaptic function and plasticity. He has developed and directed graduate-level courses in cellular and molecular neurobiology for more than two decades.
Reviews
"Jack Byrne is unique in neuroscience. He is at once a first class experimentalist, bringing to bear a variety of cellular, molecular and imaging approaches to study the mechanisms of learning and memory storage. Here his work has led to a number of penetrating insights, including the first demonstration of operant conditioning in Aplysia. But in addition, what makes Byrne's thinking and work so unique, is that it combines these experimental techniques with realistic and creative mathematical modeling to determine the extent to which the observed processes and interactions are sufficient to explain the behavior of systems he studies. This has led to his finding a series of paradigms for enhancing memory storage that are quite remarkable. The Third Edition of From Molecules to Networks is eloquent testimony to this synthesis, the experimental and theoretical and to Jack Byrne's extraordinary teaching capability, and to his ability to explain science to both students and scientists for which he was recently awarded the National Neuroscience Educational Award." --Eric R. Kandel, MD, Department of Neuroscience, Columbia University, NY, USA "Meshing together the diverse elements of neuroscience, from molecules to man, is one of the great challenges of brain science. Conveying the integrated story to readers coherently is a major task. This third edition of the now classic From Molecules to Networks text accomplishes all of this with elegance, even better than the preceding two volumes. It will be of inestimable value to student and professional alike." --Soloman H. Snyder, MD, Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA "Like the previous two editions, this new edition from Byrne, Heidelberger and Waxham is a joy to read: The volume is beautifully produced, the figures make their points perfectly, and the authors of the various chapters are not only experts in their fields, but also have the knack of explaining things clearly. The two best things about this book, though, are that it is completely up-to-date with an emphasis that matches excitement of the field, and that the book's structure, from molecules to neural circuits, emphasizes organizational principles rather than the more traditional treatment according to a list of neural systems." --Charles F. Stevens, MD, PhD, Professor, The Salk Institute, San Diego, CA, USa
Book Information
ISBN 9780123971791
Author John H. Byrne
Format Hardback
Page Count 694
Imprint Academic Press Inc
Publisher Elsevier Science Publishing Co Inc
Weight(grams) 2170g