Findings in Computers Reported from Nanyang Technological University (Lggnet: Learning From Local-global-graph Representations for Brain-computer Interface).
In: Health & Medicine Week, 2024-02-23, S. 1944-1944
serialPeriodical
Zugriff:
A recent study conducted by researchers at Nanyang Technological University in Singapore explores the use of a novel neurologically inspired graph neural network called LGGNet for brain-computer interface (BCI). The researchers propose that cooperative activities among different brain functional areas drive high-level cognitive processes, and their network aims to learn the brain activities within and among these areas. The study compares LGGNet with other state-of-the-art methods and finds that LGGNet outperforms them in most cases, demonstrating the benefits of incorporating neuroscience knowledge into neural network design. The source code for LGGNet is available for further exploration. [Extracted from the article]
Copyright of Health & Medicine Week is the property of NewsRx and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Titel: |
Findings in Computers Reported from Nanyang Technological University (Lggnet: Learning From Local-global-graph Representations for Brain-computer Interface).
|
---|---|
Zeitschrift: | Health & Medicine Week, 2024-02-23, S. 1944-1944 |
Veröffentlichung: | 2024 |
Medientyp: | serialPeriodical |
ISSN: | 1531-6459 (print) |
Sonstiges: |
|