Wang, Chanjuan
Zhang, Xinjun
Article History
Received: 17 July 2025
Accepted: 17 September 2025
First Online: 22 October 2025
Declarations
:
: The authors declare no competing interests.
: This study utilized computational modeling and synthetic neural signal datasets rather than human participants, therefore formal ethics approval from an institutional review board was not required. The research methodology involved algorithmic validation using simulated cognitive models and synthetic neurophysiological data generated from established mathematical frameworks. All computational procedures followed standard protocols for algorithmic validation and synthetic data generation. The study design adheres to ethical principles of computational research and does not involve any biological specimens, personal data, or human subjects that would require ethical oversight. Future empirical validation involving human participants would require appropriate ethics approval from relevant institutional review boards prior to implementation.