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 advanced undergraduates and graduate students, as well as researchers in need of a thorough reference.- Highly referenced for readers to pursue topics of interest in greater detail- Unique coverage of the application of mathematical modeling and simulation approaches not found in other textbooks- Richly illustrated, four color presentation throughout- Includes CD-ROM of all of the illustrations

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Yes, you can access From Molecules to Networks by John H. Byrne,Ruth Heidelberger,M. Neal Waxham,James L. Roberts in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Cell Biology. We have over one million books available in our catalogue for you to explore.

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Index

Cover image
Title page
Table of Contents
Copyright
Dedication
Contributors
Preface
Chapter 1: Cellular Components of Nervous Tissue
Chapter 2: Subcellular Organization of the Nervous System: Organelles and Their Functions
Chapter 3: Brain Energy Metabolism
Chapter 4: Electrotonic Properties of Axons and Dendrites
Chapter 5: Membrane Potential and Action Potential
Chapter 6: Molecular Properties of Ion Channels
Chapter 7: Dynamical Properties of Excitable Membranes
Chapter 8: Release of Neurotransmitters
Chapter 9: Pharmacology and Biochemistry of Synaptic Transmission: Classic Transmitters
Chapter 10: Nonclassic Signaling in the Brain
Chapter 11: Neurotransmitter Receptors
Chapter 12: Intracellular Signaling
Chapter 13: Regulation of Neuronal Gene Expression and Protein Synthesis
Chapter 14: Mathematical Modeling and Analysis of Intracellular Signaling Pathways
Chapter 15: Cell–Cell Communication: An Overview Emphasizing Gap Junctions
Chapter 16: Postsynaptic Potentials and Synaptic Integration
Chapter 17: Information Processing in Complex Dendrites
Chapter 18: Learning and Memory: Basic Mechanisms
Index

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