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From Molecules to Networks An Introduction to Cellular and Molecular Neuroscience

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ISBN-10: 0121486605

ISBN-13: 9780121486600

Edition: 2004

Authors: John H. Byrne, Ruth Heidelberger, M. Neal Waxham, James L. Roberts

List price: $106.00
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An understanding of the nervous system at virtually any level of analysis requires an understanding of its basic building block, the neuron. This book provides the solid foundation of the morphological, biochemical, and biophysical properties of nerve cells that is needed by students and researchers.
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Book details

List price: $106.00
Copyright year: 2004
Publisher: Elsevier Science & Technology
Publication date: 11/10/2003
Binding: Hardcover
Pages: 583
Size: 8.46" wide x 10.87" long x 1.25" tall
Weight: 3.850
Language: English

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).

A Fullbright scholar at the University of Vienna, JAMES L. ROBERTS was Professor Emeritus at the University of Nebraska, Lincoln. He taught extensively at major universities throughout the world.

Cellular
Components of Nervous Tissue Subcellular
Organization of the Nervous System
Organelles and their Functions Brain Energy
Metabolism Electronic Properties of Axons and Dendrites
Membrane Potential and Action Potential Molecular
Properties of Ion Channels Dynamical
Properties of Excitable Membranes Release of Neurotransmitters
Classical Neurotransmitters Peptides, Growth Factors
Gasses and Other Neurotransmitters
Neurotransmitter Receptors Intracellular Signaling
Regulation of Neuronal Gene Expression and Protein Synthesis
Mathematical Modeling and Analysis of Intracellular
Signaling Pathways Cell-Cell Communication
An Overview Emphasizing Gap Junctions Postsynaptic Potentials and Synaptic
Integration Information Processing in Complex
Dendrites Learning and Memory
Basic Mechanisms