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  1.  12
    Neuroethics at 15: Keep the Kant but Add More Bacon.Gabriel Lázaro-Muñoz, Peter Zuk, Stacey Pereira, Kristin Kostick, Laura Torgerson, Demetrio Sierra-Mercado, Mary Majumder, J. Blumenthal-Barby, Eric A. Storch, Wayne K. Goodman & Amy L. McGuire - 2019 - American Journal of Bioethics Neuroscience 10 (3):97-100.
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    Artifact characterization and mitigation techniques during concurrent sensing and stimulation using bidirectional deep brain stimulation platforms.Michaela E. Alarie, Nicole R. Provenza, Michelle Avendano-Ortega, Sarah A. McKay, Ayan S. Waite, Raissa K. Mathura, Jeffrey A. Herron, Sameer A. Sheth, David A. Borton & Wayne K. Goodman - 2022 - Frontiers in Human Neuroscience 16.
    Bidirectional deep brain stimulation platforms have enabled a surge in hours of recordings in naturalistic environments, allowing further insight into neurological and psychiatric disease states. However, high amplitude, high frequency stimulation generates artifacts that contaminate neural signals and hinder our ability to interpret the data. This is especially true in psychiatric disorders, for which high amplitude stimulation is commonly applied to deep brain structures where the native neural activity is miniscule in comparison. Here, we characterized artifact sources in recordings from (...)
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    PELP: Accounting for Missing Data in Neural Time Series by Periodic Estimation of Lost Packets.Evan M. Dastin-van Rijn, Nicole R. Provenza, Gregory S. Vogt, Michelle Avendano-Ortega, Sameer A. Sheth, Wayne K. Goodman, Matthew T. Harrison & David A. Borton - 2022 - Frontiers in Human Neuroscience 16.
    Recent advances in wireless data transmission technology have the potential to revolutionize clinical neuroscience. Today sensing-capable electrical stimulators, known as “bidirectional devices”, are used to acquire chronic brain activity from humans in natural environments. However, with wireless transmission come potential failures in data transmission, and not all available devices correctly account for missing data or provide precise timing for when data losses occur. Our inability to precisely reconstruct time-domain neural signals makes it difficult to apply subsequent neural signal processing techniques (...)
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