Sprache: Englisch
Verlag: Cambridge University Press, 2008
ISBN 10: 0521063310 ISBN 13: 9780521063319
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Sprache: Englisch
Verlag: Cambridge University Press, 2008
ISBN 10: 0521063310 ISBN 13: 9780521063319
Anbieter: Labyrinth Books, Princeton, NJ, USA
Zustand: Very Good.
Sprache: Englisch
Verlag: Cambridge University Press, 2008
ISBN 10: 0521063310 ISBN 13: 9780521063319
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 60,58
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2008
ISBN 10: 0521063310 ISBN 13: 9780521063319
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. Important neurological techniques for the physiological reconstruction of a large biological neural network are presented. Num Pages: 304 pages, black & white illustrations. BIC Classification: PSAN. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 17. Weight in Grams: 450. . 2008. 1st Edition. paperback. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2008
ISBN 10: 0521063310 ISBN 13: 9780521063319
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 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.