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Dr. Victoria Peterson

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Publicaciones


  1. T. Merk, R.M. Köhler, T.M. Brotons, S.R. Vossberg, V.Peterson, et al., Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants, Nature Biomed. Eng, (2025) 22: 046006

  2. V.Peterson, V. Spagnolo, C. M. Galván, N. Nieto, R.D Spies, D.H. Milone, Towards subject-centered co-adaptive brain-computer interfaces based on backward optimal transport, Journal of Neural Engineering, (2025) 22: 046006

  3. Stephanie Cernera et al., Master classes of the tenth international brain-computer interface meeting: showcasing the research of BCI trainees, Journal of Neural Engineering, 22:022001

  4. V.Peterson, M. Vissani, S. Luo, Q. Rabbani, N.E. Crone, A. Bush, & R.M. Richardson, A supervised data-driven spatial filter denoising method for speech artifacts in intracranial electrophysiological recordings, Imaging Neuroscience, (2024) 2: 1-22

  5. C.M Galván, R.D Spies, D.H Milone, & V.Peterson, Neurophysiologically Meaningful Motor Imagery EEG Simulation With Applications to Data Augmentation, IEEE Transactions on Neural Systems and Rehabilitation Engineering , (2024):32: 2346 - 2355

  6. V. Peterson, V. Kokkinos, E. Ferrante, A. Walton, T. Merk, A. Hadanny, V. Saravanan, N. Sisterson, N. Zaher, A. Urban, & R. M. Richardson, Deep net detection and onset prediction of electrographic seizure patterns in responsive neurostimulation, Epilepsia, (2023):00: 1– 14

  7. V. Peterson, T.Merk, A.Bush, V. Nikulin, A.A. Kühn, W.J. Neumann & R. M. Richardson, Movement decoding using spatio-spectral features of cortical and subcortical local field potentials, Experimental Neurology,  (2023)  359:11426, 

  8. T. Merk, V. Peterson, W. Lipski, B. Blankertz, R.S. Turner, N. Li, A. Horn, A. A. Kühn, R. M. Richardson & WJ Neumann, Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson’s disease , e-life, (2023) e75126

  9. V. Peterson, C. Galván, H. Hernández, MP Saavedra, & R. Spies, A motor imagery vs. rest dataset with low-cost consumer grade EEG hardware, Data in Brief, 42 (2022): 108225

  10. N. Nieto, V. Peterson, H.L. Rufiner, J. Kamienkoski & R.D Spies, Thinking out loud, an open-access EEG-based BCI dataset for inner speech recognition, Nature, Scientific Data, Vol. 9(1), pp 1-17, (2022)

  11. A. Bush, A. Chrabaszcz, V. Peterson, V. Saravanan, C. Dastolfo-Hromack, W. J. Lipski, & R. M. Richardson, Differentiation of speech-induced artifacts from physiological high gamma activity in intracranial recordings, NeuroImage, Vol. 250, pp 118962, (2022) 

  12. V. Peterson, T. Merk, R. Köhlera, S. Haufe, R.M. Richardson & WJ Neumann, Machine Learning based brain signal decoding for intelligent adaptive deep brain stimulation, Experimental Neurology, Vol. 351, pp 113993, (2022)

  13. V. Peterson, N. Nieto, D. Wyser, R. Gassert, O. Lambercy, D.H Milone, & R.D Spies, Transfer Learning based on Optimal Transport for Motor Imagery Brain-Computer Interfaces, IEEE Transactions on Biomedical Engineering, Vol. 69(2), pp. 807-817, (2022)

  14. N. Nieto, F. Ibarrola, V. Peterson, H.L. Rufiner, & R.D Spies, Extreme Learning Machine Design for Dealing with Unrepresentative Features, Neuroinformatics, (2021)

  15. C.M. Galván, H. S. Hernández, R. Spies & V. Peterson, Improving Feature Selection in Riemannian Tangent Space: a New Approach for MI-BCI Detection, Revista Argentina de Bioingeniería, Vol. 24(5), pp. 43-48 (2021)

  16. E.P. Ravera & V. Peterson, Regularized Functional Method to Determine the Hip Joint Center of Rotation in Subjects with Limited Range of Motion, Journal of Biomechanics, Vol. 129 (2021)

  17.  A. J. Larrazabal, N. Nieto, V. Peterson, D. H. Milone, & E. Ferrante, Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis, Proceedings of the National Academy of Sciences, Vol. 117(23), 2020 

  18. V. Peterson, H. S. Hernández, C. Galván & R. Spies, A feasibility study of a complete low-cost consumer-grade brain-computer interface system, Heliyon, Vol. 6(3), 2020

  19. V. Peterson, D. Wyser, O. Lambercy, R.D. Spies & R. Gassert, A penalized time-frequency band feature selection and classification procedure for improved motor intention decoding in multichannel EEG, Journal of Neural Engineering, Vol. 16(1), 2019 

  20. V. Peterson, H.L Rufiner & R.D Spies, Generalized sparse discriminant analysis for event-related potential classification, Biomedical Signal Processing and Control, Vol. 35, pp. 70-78, (2017)

  21. V. Peterson, Y. Atum, F. Jauregui, I. Gareis, R. Acevedo & L. Rufiner, Detección de ERP en ICC mediante transformada wavelet, Revista de Ingeniería Biomédica, Colombia Vol. 7(14), pp. 50-58, (2013)

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Dr. Victoria Peterson
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