The Major Options

D. Purves
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引用次数: 0

Abstract

Given the argument and evidence that the operating principle of nervous systems is to generate neural associations on a wholly empirical basis, it makes sense to compare this framework with other ideas that neuroscientists have proposed for understanding brain function. These concepts fall into several broad categories: (1) neural operation based on detecting, computing, and representing stimulus features as such; (2) neural computation and representation based on statistical inferences about physical reality; and (3) neural operation based on efficient and/or predictive coding. Another concept pertinent to all these ideas, including neural operation as empirical association, is whether nervous systems are carrying out computations. This section reviews these conceptual options and some implications that follow.
主要选择
鉴于神经系统的运作原理是在完全经验的基础上产生神经联系的论点和证据,将这一框架与神经科学家为理解大脑功能而提出的其他观点进行比较是有意义的。这些概念可分为几大类:(1)基于检测、计算和表示刺激特征的神经操作;(2)基于物理现实统计推断的神经计算与表征;(3)基于高效和/或预测编码的神经运算。与所有这些想法相关的另一个概念,包括作为经验关联的神经操作,是神经系统是否在进行计算。本节回顾这些概念性选项以及随后的一些含义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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