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Measuring and monitoring skill learning in closed-loop myoelectric hand prostheses using speed-accuracy tradeoffs.
J Neural Eng. 2024 Mar 13;21(2). doi: 10.1088/1741-2552/ad2e1c.
J Neural Eng. 2024.
PMID: 38417146
Contrasting action and posture coding with hierarchical deep neural network models of proprioception.
Sandbrink KJ, Mamidanna P, Michaelis C, Bethge M, Mathis MW, Mathis A.
Sandbrink KJ, et al. Among authors: mamidanna p.
Elife. 2023 May 31;12:e81499. doi: 10.7554/eLife.81499.
Elife. 2023.
PMID: 37254843
Free PMC article.
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Estimating speed-accuracy trade-offs to evaluate and understand closed-loop prosthesis interfaces.
Mamidanna P, Dideriksen JL, Dosen S.
Mamidanna P, et al.
J Neural Eng. 2022 Sep 7;19(5). doi: 10.1088/1741-2552/ac8a78.
J Neural Eng. 2022.
PMID: 35977526
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The impact of objective functions on control policies in closed-loop control of grasping force with a myoelectric prosthesis.
Mamidanna P, Dideriksen JL, Dosen S.
Mamidanna P, et al.
J Neural Eng. 2021 Sep 23;18(5). doi: 10.1088/1741-2552/ac23c1.
J Neural Eng. 2021.
PMID: 34479219
Clinical Trial.
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Action representation in the mouse parieto-frontal network.
Tombaz T, Dunn BA, Hovde K, Cubero RJ, Mimica B, Mamidanna P, Roudi Y, Whitlock JR.
Tombaz T, et al. Among authors: mamidanna p.
Sci Rep. 2020 Mar 27;10(1):5559. doi: 10.1038/s41598-020-62089-6.
Sci Rep. 2020.
PMID: 32221342
Free PMC article.
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DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.
Mathis A, Mamidanna P, Cury KM, Abe T, Murthy VN, Mathis MW, Bethge M.
Mathis A, et al. Among authors: mamidanna p.
Nat Neurosci. 2018 Sep;21(9):1281-1289. doi: 10.1038/s41593-018-0209-y. Epub 2018 Aug 20.
Nat Neurosci. 2018.
PMID: 30127430
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