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A test-retest resting and cognitive state EEG dataset

ds004148 · 22 high-confidence citations

1. A test-retest resting, and cognitive state EEG dataset during multiple subject-driven states

   Yulin Wang, Wei Duan, Debo Dong, Lihong Ding, Xu Lei · 2022 · Scientific Data

   Cites dataset 39 citations

2. Test-retest reliability of spectral parameterization by 1/<i>f</i> characterization using <i>SpecParam</i>

   Daniel J. McKeown, Anna J Finley, Nicholas J. Kelley, James F. Cavanagh, Hannah A. D. Keage, Oliver Baumann, Victor R. Schinazi, Ahmed A. Moustafa, Douglas J. Angus · 2023 · Cerebral Cortex

   Cites dataset 32 citations

3. Assigning channel weights using an attention mechanism: an EEG interpolation algorithm

   Renjie Liu, Zaijun Wang, Jiang Qiu, Xue Wang · 2023 · Frontiers in Neuroscience

   Cites dataset 13 citations

4. Measuring self‐similarity in empirical signals to understand musical beat perception

   Tomas Lenc, Cédric Lenoir, Peter E. Keller, Rainer Polak, Dounia Mulders, Sylvie Nozaradan · 2025 · European Journal of Neuroscience

   Cites dataset 8 citations

5. BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories

   Andrea Zanola, Federico Del Pup, Camillo Porcaro, Manfredo Atzori · 2024 · Journal of Neural Engineering

   Cites dataset 6 citations

6. TransformEEG: Towards improving model generalizability in deep learning-based EEG Parkinson’s disease detection

   Federico Del Pup, Riccardo Brun, Filippo Iotti, Edoardo Paccagnella, Mattia Pezzato, Sabrina Bertozzo, Andrea Zanola, Louis Fabrice Tshimanga, Henning Müller, Manfredo Atzori · 2025 · Neurocomputing

   Cites dataset 3 citations

7. Measuring self-similarity in empirical signals to understand musical beat perception

   Tomas Lenc, Cédric Lenoir, Peter E. Keller, Rainer Polak, Dounia Mulders, Sylvie Nozaradan · 2024 · n/a

   Cites dataset 2 citations

8. Short-term and long-term test-retest reliability of memory, complexity, and randomness of EEG microstates sequence

   Povilas Tarailis, Fiorenzo Artoni, Thomas Koenig, Christoph M. Michel, Inga Griškova-Bulanova · 2025 · Research Square

   Cites dataset 1 citations

9. Test-retest reliability of spectral parameterization by 1/ <i>f</i> characterization using <i>SpecParam</i>

   Daniel J. McKeown, Anna J Finley, Nicholas J. Kelley, James F. Cavanagh, Hannah A. D. Keage, Oliver Baumann, Victor R. Schinazi, Ahmed A. Moustafa, Douglas J. Angus · 2023 · bioRxiv (Cold Spring Harbor Laboratory)

   Cites dataset

10. Test-retest reliability of spectral parameterization by 1/f characterization using SpecParam

    Daniel J. McKeown, Anna Finley, Nickolas Kelley, James Cavanagh, Hannah A. D. Keage, Oliver Baumann, Victor R. Schinazi, Ahmed Abdelhaim Moustafa, Doug Angus · 2023 · Bond University Research Portal (Bond University)

    Cites dataset

11. Test-retest reliability of resting-state EEG intrinsic neural timescales

    Xiaoling Tang, Shan Wang, Xinye Xu, Wenbo Luo, Mingming Zhang · 2024 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites dataset

12. Deep Learning and Dynamical Modeling Frameworkfor EEG-Based Cognitive State Evolution inBrain-Computer Interfaces

    Muhammad Khurram Umair, Ayesha Arif Khawaja, Muhammad Faisal Abrar, Sikandar Ali, It Ee Lee, Salman Jan · 2026 · Research Square

    Cites dataset

13. The more, the better? Evaluating the role of EEG preprocessing for deep learning applications

    Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Alessandra Bertoldo, Manfredo Atzori · 2024 · arXiv (Cornell University)

    Cites dataset

14. Negative Space Encoding: Empirical Evidence from EEG Topological Analysis

    Alastair Waterman · 2026 · Open MIND

    Cites dataset

15. Pilot Empirical Test of the Negative Space Encoding Hypothesis: Dataset ds004148

    Alastair Waterman · 2026 · Open MIND

    Cites dataset

16. Negative Space Encoding: Empirical Evidence from EEG Topological Analysis

    Alastair Waterman · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

17. Propofol Sedation EEG: Topological Fingerprint Disruption by Loss of Consciousness - Negative Space Encoding (NSE) Empirical Validation Protocol

    Alastair Waterman · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

18. Propofol Sedation EEG: Topological Fingerprint Disruption by Loss of Consciousness - Negative Space Encoding (NSE) Empirical Validation Protocol

    Alastair Waterman · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

19. Negative Space Encoding: C-Scars, Computational Cost Transitions, and the Geometry of Forbidden Space

    Alastair Waterman · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

20. Negative Space Encoding: C-Scars, Computational Cost Transitions, and the Geometry of Forbidden Space

    Alastair Waterman · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

21. Negative Space Encoding: A Multi-Dataset Empirical Validation - Topological Signatures of Cognitive Constraints Across Four EEG Datasets

    Alastair Waterman · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

22. Negative Space Encoding: A Multi-Dataset Empirical Validation - Topological Signatures of Cognitive Constraints Across Four EEG Datasets

    Alastair Waterman · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

No citations of that kind for this dataset.