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意识与神经元表征的结构

Consciousness and the structure of neuronal representations.

作者信息

Singer W

机构信息

Max Planck Institute for Brain Research, Frankfurt/Main, Germany.

出版信息

Philos Trans R Soc Lond B Biol Sci. 1998 Nov 29;353(1377):1829-40. doi: 10.1098/rstb.1998.0335.

Abstract

The hypothesis is defended that brains expressing phenomenal awareness are capable of generating metarepresentations of their cognitive processes, these metarepresentations resulting from an iteration of self-similar cortical operations. Search for the neuronal substrate of awareness therefore converges with the search for the nature of neuronal representations. It is proposed that evolved brains use two complementary representational strategies. One consists of the generation of neurons responding selectively to a particular constellation of features and is based on selective recombination of inputs in hierarchically structured feedforward architectures. The other relies on the dynamic association of feature-specific cells into functionally coherent cell assemblies that, as a whole, represent the constellation of features defining a particular perceptual object. Arguments are presented that favour the notion that the metarepresentations supporting awareness are established in accordance with the second strategy. Experimental data are reviewed that are compatible with the hypothesis that evolved brains use assembly codes for the representation of contents and that these assemblies become organized through transient synchronization of the discharges of associated neurons. It is argued that central states favouring the formation of assembly-based representations are similar to those favouring awareness.

摘要

有一种假说得到了支持,即表现出现象意识的大脑能够生成其认知过程的元表征,这些元表征源自自相似皮质操作的迭代。因此,对意识的神经元基础的探索与对神经元表征本质的探索相契合。有人提出,进化的大脑使用两种互补的表征策略。一种是生成对特定特征组合有选择性反应的神经元,它基于分层结构的前馈架构中输入的选择性重组。另一种则依赖于将特定特征的细胞动态关联成功能上连贯的细胞集合,这些集合作为一个整体代表定义特定感知对象的特征组合。文中提出了一些论据,支持这样一种观点,即支持意识的元表征是根据第二种策略建立的。回顾了一些实验数据,这些数据与进化的大脑使用集合编码来表征内容且这些集合通过相关神经元放电的瞬时同步而形成组织的假说相符。有人认为,有利于基于集合的表征形成的中枢状态与有利于意识的中枢状态相似。

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