Designing an Architecture for a Brain-Computer Interface Operating System: Addressing Neural Input Complexity

The unique complexities of neural inputs, such as signal variability, noise sensitivity, and multimodal integration, demand a specialized architecture for Brain-Computer Interface (BCI) Operating Systems. This paper proposes a modular, scalable, and real-time BCI OS designed to address these challen...

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Bibliographic Details
Published in:	The ... International Winter Conference on Brain-Computer Interface pp. 1 - 6
Main Author:	Choi, Yunseok
Format:	Conference Proceeding
Language:	English
Published:	IEEE 24.02.2025
Subjects:	adaptive functionality Adaptive systems BCI OS Brain-computer interfaces Complexity theory Computer architecture edge computing lightweight AI Medical services modular design multimodal input integration Multisensory integration Operating systems real-time processing Real-time systems Synchronization Virtual reality
ISSN:	2572-7672
Online Access:	Get full text
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