脑节律为神经语法提供了一个框架

G. Buzsáki
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引用次数: 0

摘要

在所有哺乳动物中,大脑振荡都以相同的形式存在,代表了神经元计算的一个基本方面,包括运动模式的产生、语言和音乐的产生。神经元振荡很容易相互牵引,使大脑区域之间的信息交换有效。因为所有的神经元振荡都是基于抑制,它们可以解析和连接神经元信息,这是任何编码机制的先决条件。本章讨论了交叉频率耦合节奏的层次结构如何作为一个支架,将神经元字母组合成单词,将单词组合成句子,从而为信息交换提供一个句法结构。
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Brain Rhythms Provide a Framework for Neural Syntax
Brain oscillations are present in the same form in all mammals and represent a fundamental aspect of neuronal computation, including the generation of movement patterns, speech, and music production. Neuronal oscillators readily entrain each other, making the exchange of messages between brain areas effective. Because all neuronal oscillations are based on inhibition, they can parse and concatenate neuronal messages, a prerequisite for any coding mechanism. This chapter discusses how the hierarchical nature of cross-frequency–coupled rhythms can serve as a scaffold for combining neuronal letters into words and words into sentences, thus providing a syntactic structure for information exchange.
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