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Manuscripts on this dataset

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    Manuscripts on this dataset, "ds003969"
  2. CMS Manager

    1. B Ventura, Y Çatal, A Wolman, A Buccellato, Intrinsic neural timescales exhibit different lengths in distinct meditation techniques, NeuroImage, 2024, Cited by 0, https://www.sciencedirect.com/science/article/pii/S1053811924002428
    2. D Sihn, J Kim, SP Kim, Meditation-type specific reduction in infra-slow activity of electroencephalogram, Biomedical Engineering Letters, 2024, Cited by 0, https://link.springer.com/article/10.1007/s13534-024-00377-0
    3. SK Rao, S Ambannavar, Image-Based Cognitive States Identification through Deep Learning, 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), 2024, Cited by 0, https://ieeexplore.ieee.org/abstract/document/10467450/
    4. R Munjal, T Varshney, A Choudhary, Convolutional Neural Network Based Models for Identification of Brain State Associated with Isha Shoonya Meditation, 2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), 2023, Cited by 0, https://ieeexplore.ieee.org/abstract/document/10425262/
    5. PC Sharma, R Raja, SK Vishwakarma, Demystifying Cognitive Informatics and its Applications in Brain-Computer Interface, Wireless Personal Communications, 2023, Cited by 3, https://link.springer.com/article/10.1007/s11277-023-10192-y
    6. S Gopi, CM-II meditation as an intervention to reduce stress and improve attention: A study of ML detection, Spectral Analysis, and HRV metrics, 2023, Cited by 0, https://digitalcommons.kennesaw.edu/cs_etd/62/
    7. R Munjal, T Varshney, A Choudhary, A Deep Learning Approach for Effective Classification of Himalayan Yoga Meditative Mind and Non-Meditative Mind, Available at SSRN 4579711, Cited by 0, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4579711

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