Neuronal Networks of the Hippocampus

Neuronal Networks of the Hippocampus

ISBN-10:
0521364817
ISBN-13:
9780521364812
Pub. Date:
05/31/1991
Publisher:
Cambridge University Press
ISBN-10:
0521364817
ISBN-13:
9780521364812
Pub. Date:
05/31/1991
Publisher:
Cambridge University Press
Neuronal Networks of the Hippocampus

Neuronal Networks of the Hippocampus

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Overview

The questions of how a large population of neurons in the brain functions, how synchronized firing of neurons is achieved, and what factors regulate how many and which neurons fire under different conditions form the central theme of this book. Using a combined experimental-theoretical approach unique in neuroscience, the authors present important new techniques for the physiological reconstruction of a large biological neuronal network. They begin by discussing experimental studies of the CA3 hippocampal region in vitro, focusing on single-cell and synaptic electrophysiology, particularly the effects a single neuron exerts on its neighbors. This is followed by a description of a computer model of the system, first for individual cells then for the entire detailed network, and the model is compared with experiments under a variety of conditions. The results shed significant light into the mechanisms of epilepsy, electroencephalograms, and biological oscillations and provide an excellent test case for theories of neural networks.

Product Details

ISBN-13: 9780521364812
Publisher: Cambridge University Press
Publication date: 05/31/1991
Pages: 304
Product dimensions: 6.30(w) x 9.25(h) x 0.94(d)

Table of Contents

Acknowledgments; Prologue; 1. The hippocampus in context; 2. Physiology of single neurons: voltage- and ligand-gated ionic channels; 3. Synaptic function and organization of the CA3 region; 4. The single-cell model; 5. Model of the CA3 network; 6. Collective behaviours of the CA3 network: experiment and model; 7. Collective behaviours of the CA3 network: spontaneous oscillations and synchronized synaptic potentials; 8. Field effects; 9. Theoretical approaches: mathematical neural networks; Appendix; Conclusion; Notes; References; Index.
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