Thalamocortical assemblies : how ion channels, single neurons and large-scale networks organize sleep oscillations
著者
書誌事項
Thalamocortical assemblies : how ion channels, single neurons and large-scale networks organize sleep oscillations
（Monographs of the Physiological Society, 49）
Oxford University Press, 2001
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注記
Includes bibliographical references (p. 407-442) and index (p. [443]-452)
内容説明・目次
内容説明
During sleep, the mammalian brain generates an orderly progression of low frequency oscillations. The nature of these oscillations changes as the brain moves from sleep onset into deep sleep. Although readily measured and recorded, the underlying neural mechanisms involved and the purpose of these oscillations have remained unclear. However, as we learn more about the properties of neurons in the thalamus and cerebral cortex and their interactions, it has become possible to suggest a role for these occurrences. This book reviews the molecular components and ionic mechanisms underlying sleep oscillations, including their distorsion into epileptic seizures. It reviews the properties of ion channels, synaptic interactions, intrinsic cellular behaviour, and how these elements assemble into oscillating circuits and networks. The precision experimental data collected has provided a foundation for the study of dynamic activity in the central nervous systems and it is now possible to suggest a role for thalamocortical oscillations in memory consolidation.
Thalamocortical Assemblies is for neuroscientists, neurobiologists, physiologists and other researchers interested in sleep and memory processes.
目次
- PART I - INTRODUCTION
- 1.1 Brain rhythmicities
- 1.2 Early views on brain rhythmicity
- 1.3 Origins of brain rhythmicity
- 1.4 Identification of the key neuronal structures
- 1.5 Thalamocortical assemblies
- PART II - BIOPHYSICAL MODELS OF THE MEMBRANE POTENTIAL AND IONIC CURRENTS
- 2.1 Ionic bases of neuronal excitability
- 2.2 Calcium-dependent ion channels
- 2.3 Markov models of voltage-dependent ion channels
- PART III - ELECTROPHYSIOLOGICAL PROPERTIES OF THALAMIC RELAY NEURONS
- 3.1 The bursting properties of thalamic relay neurons
- 3.2 Oscillatory properties of thalamic relay cells
- 3.3 Intrinsic waxing-and-waning oscillations in thalamic relay cells
- 3.4 Dendritic T-current in thalamic relay cells
- PART IV - ELECTROPHYSIOLOGICAL PROPERTIES OF THALAMIC RETICULAR NEURONS
- 4.1 The rebound burst of thalamic reticular cells
- 4.2 Intrinsic oscillations in RE cells
- 4.3 Dendritic T-current in thalamic reticular cells
- PART V - BIOPHYSICAL MODELS OF SYNAPTIC INTERACTIONS
- 5.1 Transmitter release
- 5.2 Models for different types of postsynaptic receptors
- 5.3 Models of synaptic transmission including extracellular diffusion of transmitter
- PART VI - SPINDLE OSCILLATIONS IN THALAMIC CIRCUITS
- 6.1 Experimental characterization of sleep spindle oscillations
- 6.2 Models of rhythmicity in the isolated reticular nucleus
- 6.3 Models of rhythmicity arising from thalamic relay-reticular interactions
- 6.4 Why does the RE nucleus oscillate in vivo but not in vitro?
- 6.5 Network model of spindle oscillations in ferret thalamic slices
- 6.6 Intrathalamic augmenting responses
- PART VII - SPINDLE OSCILLATIONS IN THE THALAMOCORTICAL SYSTEM
- 7.1 Experimental characterization of spindle oscillations in the thalamocortical system
- 7.2 A thalamocortical network model of spindle oscillations
- 7.3 The large-scale synchrony of spindle oscillations during natural sleep
- 7.4 Thalamocortical augmenting responses
- PART VIII - THALAMOCORTICAL MECHANISMS FOR SPIKE-AND-WAVE EPILEPTIC SEIZURES
- 8.1 Experimental characterization of paroxysmal oscillations
- 8.2 Modeling the genesis of paroxysmal discharges in the thalamus
- 8.3 Model of spike-and-wave oscillations in the thalamocortical system
- PART IX - A PHYSIOLOGICAL ROLE FOR SLEEP OSCILLATIONS?
- 9.1 Impact of thalamic inputs on neocortical neurons
- 9.2 Oscillations during natural sleep and wakefulness
- 9.3 A possible function for sleep oscillations
- 9.4 A computational theory of sleep
- A - IONIC BASES OF THE MEMBRANE POTENTIAL
- B - OPTIMIZED ALGORITHMS FOR SIMULATING SYNAPTIC CURRENTS
- C - DATA AVAILABLE ON THE INTERNET
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