Dynamic functional connectivity correlates of mental workload
Author:
Funder
STI 2030-Major Projects of the Ministry of Science and Technology of China
National Key Research and Development Program of China
Department of Education of Guangdong Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11571-024-10101-4.pdf
Reference55 articles.
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3. Arthur D, Vassilvitskii S (2007) K-means++ the advantages of careful seeding. In: Proceedings of the eighteenth annual ACM-SIAM symposium on discrete algorithms, pp 1027–1035
4. Borghini G, Astolfi L, Vecchiato G et al. (2014) Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness. Neurosci Biobehav Rev 44:58–75
5. Brouwer AM, Hogervorst MA, Van Erp JB et al. (2012) Estimating workload using EEG spectral power and ERPs in the n-back task. J Neural Eng 9(4):045008
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