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Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
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Language and Cognition01:27

Language and Cognition

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Components of Language01:24

Components of Language

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Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
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相关实验视频

Updated: Jan 14, 2026

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
05:33

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

Published on: January 29, 2020

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信号:语义和推断语法语言的神经分析的数据集.

Anna Komissarenko1,2, Ekaterina Voloshina3, Anastasia Cheveleva4

  • 1AIRI, Moscow, Russia. zhuravlevahanna@gmail.com.

Scientific data
|October 24, 2025
PubMed
概括

这项研究引入了用于大脑模型对齐研究的新数据集,包括受控语言刺激和脑电图 (EEG) 记录. 这些数据支持研究大型语言模型与人类大脑相比如何处理语言.

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Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
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Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

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Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
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Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

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相关实验视频

Last Updated: Jan 14, 2026

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
05:33

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

Published on: January 29, 2020

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Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
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Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

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Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
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Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

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科学领域:

  • 认知神经科学 认知神经科学
  • 计算语言学 计算语言学
  • 人工智能的人工智能

背景情况:

  • 现有的脑模型对齐研究往往缺乏受控的语言刺激,并专注于定期的阅读任务.
  • 大型语言模型 (LLM) 的解释性越来越多地利用精心设计的语言任务.
  • 需要数据集来弥合人类的语言处理和LLMs.

研究的目的:

  • 为语言领域的大脑模型对齐研究提供一个新的数据集.
  • 为了促进研究人类大脑对语言不一致的反应,并将其与LLM处理进行比较.
  • 提供受控的文字刺激和相应的脑电图 (EEG) 数据.

主要方法:

  • 600个句子的汇编,包括一致和不一致 (语法/语义) 的例子.
  • 由母语人士对文本刺激进行语言有效性的评估.
  • 在刺激呈现期间从21名参与者收集高密度的64通道EEG记录.
  • 验证数据集适合于大脑-LLM对齐研究.

主要成果:

  • 现在可以获得一个包含受控语言刺激和人类脑电图数据的验证数据集.
  • 数据集包括混合的一致和不一致的句子,旨在探讨语言处理.
  • 最初的验证证实了数据适用于未来的大脑模型对齐研究的适用性.

结论:

  • 这一数据集非常适合在语言背景下研究大脑模型对齐.
  • 这个资源使人类和LLM语言处理的比较分析.
  • 未来的研究可以利用这个数据集来提高语言模型的可解释性和对齐性.