Deep Learning for EEG-based Brain-Computer Interfaces: Representations, Algorithms and Applications(Xiang Zhang, Lina Yao)(World Scientific 2022)

  • 书名:Deep Learning for EEG-based Brain-Computer Interfaces: Representations, Algorithms and Applications
  • 出版社:World Scientific
  • 作者:Xiang Zhang, Lina Yao
  • 出版年份:2022
  • 电子书格式: pdf
  • 简介:Dive into the cutting-edge of brain-computer interfaces with this comprehensive guide. “Deep Learning for EEG-based Brain-Computer Interfaces” explores the latest advancements in using deep learning for EEG signals. Discover practical applications, algorithms, and crucial insights into EEG signal representations. Ideal for researchers, engineers, and students in neuroscience, computer science, and related fields. This book provides a practical approach to using deep learning for BCIs, crucial for building interactive systems that respond to brain activity.
  • ISBN:9781786349583, 17863
  • 下载地址(点击下载):
    隐藏内容
    本内容登录后免费查看
声明:本站所有文章,如无特殊说明或标注,均为本站原创发布。任何个人或组织,在未征得本站同意时,禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益,可联系我们进行处理。