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计算机情报检索 Elsevier Science全文数据库使用介绍 设计者 华中科技大学图书馆文献检索教研室
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完全记录清单 All Fields Citation & Abstract Author Name Article Title Abstract All of Electronic Journals just this journal Respiration Physiology, Vol: 122, Issue: 2-3, pp. 131 - 147, September 1, 2000 Title: Respiratory rhythm generation in neonatal and adult mammals: the hybrid pacemaker–network model Authors: Smith, Jeffrey C.; Butera Jr, Robert J.; Koshiya, Naohiro; Del Negro, Christopher; Wilson, Christopher G.; Johnson, Sheree M. Keywords: Respiratory rhythm generation; Neonatal mammals; Adult mammals; Hybrid pacemaker–network model
完全记录清单 Abstract (English): We review a new unified model of respiratory rhythm generation — the hybrid pacemaker–network model. This model represents a comprehensive synthesis of cellular and network mechanisms that can theoretically account for rhythm generation in different functional states, from the most reduced states in the neonatal nervous system in vitro to the intact adult system in vivo. The model incorporates a critical neuronal kernel consisting of a network of excitatory neurons with state-dependent, oscillatory bursting or pacemaker properties. This kernel, located in the pre-B?tzinger complex of the ventrolateral medulla, provides a rudimentary pacemaker network mechanism for generating an inspiratory rhythm, revealed predominately in functionally reduced states in vitro. In vivo the kernel is embedded in a larger network that interacts with the kernel via inhibitory synaptic connections that provide the dynamic control required for the evolution of the complete pattern of inspiratory and expiratory network activity. The resulting hybrid of cellular pacemaker and network properties functionally endows the system with multiple mechanisms of rhythm generation. New biophysically realistic mathematical models of the hybrid pacemaker–network have been developed that illustrate these concepts and provide a computational framework for investigating interactions of cellular and network processes that must be analyzed to understand rhythm generation. Publisher: Elsevier Science Language of Publication: English Item Identifier: S0034-5687(00)00155-9 Publication Type: Article ISSN: 0034-5687 This journal article is available on-line in the following forms: Article Full Text PDF (700 KB) Get citation export (Reference format)
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