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Journal Abstract Search

693 related items for PubMed ID: 30221624

  • 1. A control-theoretic system identification framework and a real-time closed-loop clinical simulation testbed for electrical brain stimulation.
    Yang Y, Connolly AT, Shanechi MM.
    J Neural Eng; 2018 Dec; 15(6):066007. PubMed ID: 30221624
    [Abstract] [Full Text] [Related]

  • 2. Generalized binary noise stimulation enables time-efficient identification of input-output brain network dynamics.
    Yuxiao Yang, Shanechi MM.
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1766-1769. PubMed ID: 28268669
    [Abstract] [Full Text] [Related]

  • 3. A framework for identification of brain network dynamics using a novel binary noise modulated electrical stimulation pattern.
    Yang Y, Shanechi MM.
    Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():2087-90. PubMed ID: 26736699
    [Abstract] [Full Text] [Related]

  • 4. Stochastic optimal control of single neuron spike trains.
    Iolov A, Ditlevsen S, Longtin A.
    J Neural Eng; 2014 Aug; 11(4):046004. PubMed ID: 24891497
    [Abstract] [Full Text] [Related]

  • 5. Designing and validating a robust adaptive neuromodulation algorithm for closed-loop control of brain states.
    Fang H, Yang Y.
    J Neural Eng; 2022 May 27; 19(3):. PubMed ID: 35576912
    [Abstract] [Full Text] [Related]

  • 6. Robust adaptive deep brain stimulation control of in-silico non-stationary Parkinsonian neural oscillatory dynamics.
    Fang H, Berman SA, Wang Y, Yang Y.
    J Neural Eng; 2024 Jun 17; 21(3):. PubMed ID: 38834058
    [Abstract] [Full Text] [Related]

  • 7. Closed-loop control of deep brain stimulation: a simulation study.
    Santaniello S, Fiengo G, Glielmo L, Grill WM.
    IEEE Trans Neural Syst Rehabil Eng; 2011 Feb 17; 19(1):15-24. PubMed ID: 20889437
    [Abstract] [Full Text] [Related]

  • 8. Adaptive inverse control of neural spatiotemporal spike patterns with a reproducing kernel Hilbert space (RKHS) framework.
    Li L, Park IM, Brockmeier A, Chen B, Seth S, Francis JT, Sanchez JC, Príncipe JC.
    IEEE Trans Neural Syst Rehabil Eng; 2013 Jul 17; 21(4):532-43. PubMed ID: 22868633
    [Abstract] [Full Text] [Related]

  • 9. Neural signal processing and closed-loop control algorithm design for an implanted neural recording and stimulation system.
    Hamilton L, McConley M, Angermueller K, Goldberg D, Corba M, Kim L, Moran J, Parks PD, Sang Chin, Widge AS, Dougherty DD, Eskandar EN.
    Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug 17; 2015():7831-6. PubMed ID: 26738107
    [Abstract] [Full Text] [Related]

  • 10. A Robust and Adaptive Control Algorithm for Closed-Loop Brain Stimulation.
    Fang H, Yang Y.
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov 17; 2021():6049-6052. PubMed ID: 34892496
    [Abstract] [Full Text] [Related]

  • 11. An Embedded Multi-Core Real-Time Simulation Platform of Basal Ganglia for Deep Brain Stimulation.
    Wei X, Zhang H, Gong B, Chang S, Lu M, Yi G, Zhang Z, Deng B, Wang J.
    IEEE Trans Neural Syst Rehabil Eng; 2021 Nov 17; 29():1328-1340. PubMed ID: 34232884
    [Abstract] [Full Text] [Related]

  • 12. A system for neural recording and closed-loop intracortical microstimulation in awake rodents.
    Venkatraman S, Elkabany K, Long JD, Yao Y, Carmena JM.
    IEEE Trans Biomed Eng; 2009 Jan 17; 56(1):15-22. PubMed ID: 19224714
    [Abstract] [Full Text] [Related]

  • 13. Hippocampal closed-loop modeling and implications for seizure stimulation design.
    Sandler RA, Song D, Hampson RE, Deadwyler SA, Berger TW, Marmarelis VZ.
    J Neural Eng; 2015 Oct 17; 12(5):056017. PubMed ID: 26355815
    [Abstract] [Full Text] [Related]

  • 14. Pulsatile desynchronizing delayed feedback for closed-loop deep brain stimulation.
    Popovych OV, Lysyansky B, Rosenblum M, Pikovsky A, Tass PA.
    PLoS One; 2017 Oct 17; 12(3):e0173363. PubMed ID: 28273176
    [Abstract] [Full Text] [Related]

  • 15. Closed-Loop Modulation of the Pathological Disorders of the Basal Ganglia Network.
    Liu C, Wang J, Li H, Lu M, Deng B, Yu H, Wei X, Fietkiewicz C, Loparo KA.
    IEEE Trans Neural Netw Learn Syst; 2017 Feb 17; 28(2):371-382. PubMed ID: 26766381
    [Abstract] [Full Text] [Related]

  • 16. Predicting the threshold of pulse-train electrical stimuli using a stochastic auditory nerve model: the effects of stimulus noise.
    Xu Y, Collins LM.
    IEEE Trans Biomed Eng; 2004 Apr 17; 51(4):590-603. PubMed ID: 15072213
    [Abstract] [Full Text] [Related]

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  • 18. Real-time control of hind limb functional electrical stimulation using feedback from dorsal root ganglia recordings.
    Bruns TM, Wagenaar JB, Bauman MJ, Gaunt RA, Weber DJ.
    J Neural Eng; 2013 Apr 17; 10(2):026020. PubMed ID: 23503062
    [Abstract] [Full Text] [Related]

  • 19. A proof-of-principle simulation for closed-loop control based on preexisting experimental thalamic DBS-enhanced instrumental learning.
    Wang CF, Yang SH, Lin SH, Chen PC, Lo YC, Pan HC, Lai HY, Liao LD, Lin HC, Chen HY, Huang WC, Huang WJ, Chen YY.
    Brain Stimul; 2017 Apr 17; 10(3):672-683. PubMed ID: 28298263
    [Abstract] [Full Text] [Related]

  • 20. Landscape and future directions of machine learning applications in closed-loop brain stimulation.
    Chandrabhatla AS, Pomeraniec IJ, Horgan TM, Wat EK, Ksendzovsky A.
    NPJ Digit Med; 2023 Apr 27; 6(1):79. PubMed ID: 37106034
    [Abstract] [Full Text] [Related]

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