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相关概念视频

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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Assessment and Communication for People with Disorders of Consciousness
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用高性能语音BCI的超级神经网络进行有效的语音解码.

Xianhan Tan, Qi Lian, Junming Zhu

    IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
    |September 10, 2024
    PubMed
    概括

    这项研究引入了通过将大脑信号映射到超标空间来进行语音脑电脑接口 (BCI) 的新方法. 这种方法可以提高像汉语这样的语言的音符解码精度,提高BCI通信性能.

    科学领域:

    • 神经科学是一个神经科学.
    • 计算机科学 计算机科学
    • 语言学的语言学.

    背景情况:

    • 语音大脑-计算机接口 (BCI) 通过将大脑信号转换为语音,显示出对通信的希望.
    • 准确的音符解码对于单音节语言,如汉语,至关重要.
    • 当前的神经表征通常会将音符与类似的发音混为一谈.

    研究的目的:

    • 开发一个更明显的神经表示语音在语音BCIs.
    • 为了提高语音分类和解码的准确性.

    主要方法:

    • 将语音发音的神经信号映射到过度的空间中.
    • 使用过度的等级聚类方法来学习语音层次结构.
    • 应用学习的结构来指导神经信号表示.

    主要成果:

    • 过度表达增加了类似语音之间的距离,减少了混.
    • 在解码21个音符时,达到75.21%的平均准确率.
    • 在实验日内超越了现有的语音解码方法.

    结论:

    • 拟议的方法在语音分类中实现了高精度.

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  • 学习语音级神经结构可以提高神经信号的可辨别性和可解释性.
  • 这种方法有可能显著提升单音节语言的语音BCI.