执行离线ECoG脑到文本解码自然语气句子的协议。

IF 1.3 Q4 BIOCHEMICAL RESEARCH METHODS STAR Protocols Pub Date : 2025-03-21 Epub Date: 2025-02-21 DOI:10.1016/j.xpro.2025.103650
Daohan Zhang, Zhenjie Wang, Youkun Qian, Zehao Zhao, Yan Liu, Junfeng Lu, Yuanning Li
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引用次数: 0

摘要

在这里,我们提出了一种使用脑-文本框架从侵入性神经记录中解码普通话句子的协议。我们描述了准备材料的步骤,包括设计句子语料库和设置皮质电图(ECoG)记录系统。然后,我们详细介绍了解码的程序,如数据预处理、语音响应电极的选择、语音检测、音节和音调解码以及语言建模。我们还概述了性能评估指标。有关本协议使用和执行的完整细节,请参见Zhang等人1。
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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Protocol to perform offline ECoG brain-to-text decoding for natural tonal sentences.

Here, we present a protocol to decode Mandarin sentences from invasive neural recordings using a brain-to-text framework. We describe steps for preparing materials, including designing the sentence corpus and setting up electrocorticography (ECoG) recording systems. We then detail procedures for decoding, such as data preprocessing, selection of speech-responsive electrodes, speech detection, syllable and tone decoding, and language modeling. We also outline performance evaluation metrics. For complete details on the use and execution of this protocol, please refer to Zhang et al.1.

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来源期刊
STAR Protocols
STAR Protocols Biochemistry, Genetics and Molecular Biology-General Biochemistry, Genetics and Molecular Biology
CiteScore
2.00
自引率
0.00%
发文量
789
审稿时长
10 weeks
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