Neuronal Networks of the Hippocampus
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Neuronal Networks of the Hippocampus by Roger D. Traub
Book DescriptionThe 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 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 neighbours. 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. Researchers in neurophysiology and physiological psychology, physicians concerned with epilepsy and related disorders, and researchers in computational neuroscience will find this book an invaluable resource.
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Book DetailsISBN: 9780521063319
(229mm x 152mm x 17mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 29-May-2008
Country of Publication: United Kingdom
Books By Author Roger D. Traub
Fast Oscillations in Cortical Circuits, Hardback (July 1999)
Using a combination of electrophysiological and computer modelling techniques, this book analyzes how large networks of neurons can produce both epileptic seizures and functionally relevant synchronized oscillations. Topics covered include single hippocampal pyramid cells and synaptic interactions.
Neuronal Networks of the Hippocampus, Hardback (May 1991)» View all books by Roger D. Traub
Important neurological techniques for the physiological reconstruction of a large biological neural network are presented.
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