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中枢神经系统神经可塑性的若干方面——VII. 大脑通信与计算的理论方面。

Aspects of neural plasticity in the central nervous system-VII. Theoretical aspects of brain communication and computation.

作者信息

Agnati L F, Zoli M, Pich E M, Benfenati F, Fuxe K

机构信息

Institute of Human Physiology, University of Modena, Via Campi 287, 41100 Modena, Italy.

出版信息

Neurochem Int. 1990;16(4):479-500. doi: 10.1016/0197-0186(90)90008-h.

DOI:10.1016/0197-0186(90)90008-h
PMID:20504587
Abstract

Some aspects of the communicational and computational features of the central nervous system are discussed. The existence in the central nervous system of two main types of interneuronal communication, the wiring (i.e. the classical type of synaptic transmission) and the volume (i.e. a humoral type of non-synaptic transmission) transmission, has been proposed. Some features of these types of transmission are discussed, with special reference to the informational properties of peptide transmitters. With respect to the computational aspects of neural function, the identification of putative computational structures at the macroscopic (network) and microscopic (local circuit, synapse) levels suggests the existence of a computational hierarchical organization. In this context, the existence of a compartmental organization of various cerebral regions is discussed. It is hypothesized that membrane domains, made by patches of membrane in which preselected molecular movements are possible resulting in molecular interactions, can have an important role in the integrative capabilities of neural tissue. The coexistence of multiple neuroactive substances in central synapses is analyzed in the framework of information transfer processes at this level. The presence of putative homeostatic, heterostatic and mnestic mechanisms in the synapse is also discussed.

摘要

本文讨论了中枢神经系统通信和计算功能的某些方面。有人提出,中枢神经系统中存在两种主要的神经元间通信方式,即线路式(即经典的突触传递类型)和容积式(即体液型非突触传递)传递。本文讨论了这些传递类型的一些特征,并特别提及了肽类递质的信息特性。关于神经功能的计算方面,在宏观(网络)和微观(局部回路、突触)水平上对假定计算结构的识别表明存在一种计算层次组织。在此背景下,讨论了不同脑区的分隔组织的存在。据推测,由可进行预选分子运动从而导致分子相互作用的膜片构成的膜结构域,可能在神经组织的整合能力中发挥重要作用。在这一水平的信息传递过程框架内,分析了中枢突触中多种神经活性物质的共存情况。还讨论了突触中假定的稳态、异态和记忆机制的存在。

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