Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage
American Psychological Association 6th edition

Hu K, Wang Y, Tu K, Guo H, & Yan J. (2025). Cross-domain correlation analysis to improve SSVEP signals recognition in brain-computer interfaces. Biomedical Physics & Engineering Express, 12(1). https://doi.org/10.1088/2057-1976/ae2772

ISO-690 (author-date, English)

HU K, WANG Y, TU K, GUO H und YAN J, 2025. Cross-domain correlation analysis to improve SSVEP signals recognition in brain-computer interfaces. Biomedical physics & engineering express. 15 Dezember 2025. Vol. 12, no. 1, . DOI 10.1088/2057-1976/ae2772.

Modern Language Association 9th edition

Hu K, Wang Y, Tu K, Guo H, und Yan J. „Cross-Domain Correlation Analysis to Improve SSVEP Signals Recognition in Brain-Computer Interfaces.“. Biomedical Physics & Engineering Express, Bd. 12, Nr. 1, Dezember 2025, https://doi.org/10.1088/2057-1976/ae2772.

Mohr Siebeck - Recht (Deutsch - Österreich)

Hu K/Wang Y/Tu K/Guo H/Yan J: Cross-domain correlation analysis to improve SSVEP signals recognition in brain-computer interfaces., Biomedical physics & engineering express 2025,

Emerald - Harvard

Hu K, Wang Y, Tu K, Guo H und Yan J. (2025), „Cross-domain correlation analysis to improve SSVEP signals recognition in brain-computer interfaces.“, Biomedical Physics & Engineering Express, Vol. 12 No. 1, verfügbar unter:https://doi.org/10.1088/2057-1976/ae2772.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.