Suppr超能文献

树突编码:有意识体验的时间突触编码的替代方案。

Dendritic encoding: an alternative to temporal synaptic coding of conscious experience.

作者信息

Woolf N J

机构信息

Department of Psychology, University of California, Los Angeles, California 90095-1563, USA.

出版信息

Conscious Cogn. 1999 Dec;8(4):447-54. doi: 10.1006/ccog.1999.0385.

Abstract

In this commentary, arguments are made for a dendritic code being preferable to a temporal synaptic code as a model of conscious experience. A temporal firing pattern is a product of an ongoing neural computation; hence, it is based on a neural algorithm and an algorithm may not provide the most suitable model for conscious experience. Reiteration of a temporal firing code as suggested in a preceding article (Helekar, 1999) does not necessarily improve the situation. The alternative model presented here is that certain synaptic activity patterns, possibly those possessing universal features as suggested by Helekar, can become encoded in the dendritic structure. Following dendritic encoding, quantum phenomena in those specific dendrite sets could illuminate the static image of that encoded synaptic activity. It is the activation of the static image that would be equivalent to conscious experience; thus, conscious awareness would not be directly affiliated with synaptic activity. This dendrite encoding model may go farther than other models to explain the gestalt nature of consciousness, insofar as quantum entanglement could produce an interconnectedness between specific sets of dendrites-an interconnectedness that need not be based on neural computation or neural connections.

摘要

在这篇评论中,有人提出作为意识体验的模型,树突编码比时间突触编码更可取。时间发放模式是正在进行的神经计算的产物;因此,它基于一种神经算法,而一种算法可能无法为意识体验提供最合适的模型。如前文(赫莱卡尔,1999年)所建议的那样重复时间发放编码并不一定会改善这种情况。这里提出的替代模型是,某些突触活动模式,可能是像赫莱卡尔所建议的那些具有普遍特征的模式,可以在树突结构中被编码。在树突编码之后,那些特定树突集合中的量子现象可以阐明该编码突触活动的静态图像。正是这个静态图像的激活等同于意识体验;因此,意识觉知不会直接与突触活动相关联。这个树突编码模型在解释意识的格式塔性质方面可能比其他模型走得更远,因为量子纠缠可以在特定的树突集合之间产生一种相互联系——这种相互联系不必基于神经计算或神经连接。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验