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During sleep, the mammalian brain generates an orderly progression of low frequency oscillations as the brain moves from sleep onset into deep sleep. This book explores the underlying neural mechanisms involved in generating these oscillations through interacting neural assemblies in the thalamus and the cortex. Sleep spindles are involved in the consolidation of experiences in long-term memory during sleep.Written by two leading experts in the field, this book integrates the properties of ion channels, synaptic interactions, and intrinsic cellular mechanisms into biophysical models of neural oscillations in local circuits and distributed networks. In particular, the book focuses on sleep spindles and how they are highjacked by epileptic seizuresReissued in paperback after being unavailable for many years, this revised edition of Thalamocortical Assemblies includes updates to each chapter, highlighting developments since its first publication. The book will be valuable to neuroscientists, neurobiologists, physiologists and computational researchers interested in sleep and memory processes.
This book investigates the neural mechanisms and biophysical properties that generate sleep-related oscillations and their relationship to epileptic discharges within the thalamocortical system. Professors Alain Destexhe and Terrence Sejnowski utilize their extensive expertise in computational neuroscience to synthesize data regarding ion channels, synaptic interactions, and cellular mechanisms. By constructing biophysical models, the authors provide a framework for understanding how local circuits and distributed networks produce sleep spindles and slow waves, while also examining the pathological hijacking of these processes during seizures.
What You Will Find
Experts recognize this monograph as a foundational text for researchers focused on the computational aspects of sleep and memory consolidation. Readers frequently note the technical density of the prose, which requires a strong background in neurobiology and mathematical modeling to fully appreciate the presented frameworks.
Page Count:
480
Publication Date:
2023-11-10
Publisher:
Oxford University Press
ISBN-10:
019886499X
ISBN-13:
9780198864998
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