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Manuscripts on this dataset

  1. CMS Manager

    Manuscripts on this dataset, "ds004148"

  2. CMS Manager

    1. T Lenc, C Lenoir, PE Keller, R Polak, Measuring self-similarity in empirical signals to understand musical beat perception, European Journal of Neuroscience, 2025, Cited by 3, https://onlinelibrary.wiley.com/doi/abs/10.1111/ejn.16637
    2. F Del Pup, A Zanola, LF Tshimanga, The more, the better? Evaluating the role of EEG preprocessing for deep learning applications., IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025, Cited by 0, https://ieeexplore.ieee.org/abstract/document/10909332/
    3. DJ McKeown, AJ Finley, NJ Kelley, Test-retest reliability of spectral parameterization by 1/f characterization using SpecParam, Cerebral Cortex, 2024, Cited by 7, https://academic.oup.com/cercor/article-pdf/doi/10.1093/cercor/bhad482/56131728/bhad482.pdf
    4. N Li, J Yang, C Long, X Lei, Test–Retest Reliability of EEG Aperiodic Components in Resting and Mental Task States, Brain topography, 2024, Cited by 2, https://link.springer.com/article/10.1007/s10548-024-01067-x
    5. X Tang, S Wang, X Xu, W Luo, M Zhang, Test-retest reliability of resting-state EEG intrinsic neural timescales, bioRxiv, 2024, Cited by 0, https://www.biorxiv.org/content/10.1101/2024.09.09.611966.abstract
    6. C Han, VCK Cheung, RHM Chan, Aging amplifies sex differences in low alpha and low beta EEG oscillations, bioRxiv, 2024, Cited by 1, https://www.biorxiv.org/content/10.1101/2024.07.31.603949.abstract
    7. H Gangapuram, V Manian, Electroencephalogram Functional Connectivity Analysis and Classification of Mental Arithmetic Working Memory Task, Signals, 2024, Cited by 1, https://www.mdpi.com/2624-6120/5/2/16
    8. A Zanola, F Del Pup, C Porcaro, BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories, Journal of Neural Engineering, 2024, Cited by 1, https://iopscience.iop.org/article/10.1088/1741-2552/ad6a8c/meta
    9. M Rosenblatt, L Tejavibulya, H Sun, CC Camp, Power and reproducibility in the external validation of brain-phenotype predictions, Nature Human Behaviour, 2024, Cited by 4, https://www.nature.com/articles/s41562-024-01931-7
    10. R Liu, Z Wang, J Qiu, X Wang, Assigning channel weights using an attention mechanism: an EEG interpolation algorithm, Frontiers in Neuroscience, 2023, Cited by 5, https://www.frontiersin.org/articles/10.3389/fnins.2023.1251677/full
    11. AV Chikkankod, L Longo, A proposal for improving EEG microstate generation via interpretable deep clustering with convolutional autoencoders, 2022, Cited by 0, https://ceur-ws.org/Vol-3793/paper_4.pdf
    12. Y Wang, W Duan, D Dong, L Ding, X Lei, A test-retest resting, and cognitive state EEG dataset during multiple subject-driven states, Scientific data, 2022, Cited by 23, https://www.nature.com/articles/s41597-022-01607-9
    13. Y Wang, W Duan, L Ding, D Dong, X Lei, A test-retest resting and cognitive state EEG dataset, Cited by 6
    14. R Zheng, D Zhang, Z Yuan, J Chen, Y Yang, Beatrix: Out-of-Distribution Generalization of Large EEG Model via Invariant Contrastive Fine-Tuning, Cited by 0, https://openreview.net/forum?id=IjBndR92Zy

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