BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

308 related articles for article (PubMed ID: 26142906)

  • 1. Recasting brain-machine interface design from a physical control system perspective.
    Zhang Y; Chase SM
    J Comput Neurosci; 2015 Oct; 39(2):107-18. PubMed ID: 26142906
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Combining decoder design and neural adaptation in brain-machine interfaces.
    Shenoy KV; Carmena JM
    Neuron; 2014 Nov; 84(4):665-80. PubMed ID: 25459407
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A high performing brain-machine interface driven by low-frequency local field potentials alone and together with spikes.
    Stavisky SD; Kao JC; Nuyujukian P; Ryu SI; Shenoy KV
    J Neural Eng; 2015 Jun; 12(3):036009. PubMed ID: 25946198
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Local-learning-based neuron selection for grasping gesture prediction in motor brain machine interfaces.
    Xu K; Wang Y; Wang Y; Wang F; Hao Y; Zhang S; Zhang Q; Chen W; Zheng X
    J Neural Eng; 2013 Apr; 10(2):026008. PubMed ID: 23428877
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Leveraging neural dynamics to extend functional lifetime of brain-machine interfaces.
    Kao JC; Ryu SI; Shenoy KV
    Sci Rep; 2017 Aug; 7(1):7395. PubMed ID: 28784984
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Motor cortical decoding performance depends on controlled system order.
    Matlack C; Haddock A; Moritz CT; Chizeck HJ
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():2553-6. PubMed ID: 25570511
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Decoding continuous limb movements from high-density epidural electrode arrays using custom spatial filters.
    Marathe AR; Taylor DM
    J Neural Eng; 2013 Jun; 10(3):036015. PubMed ID: 23611833
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Long-term decoding stability of local field potentials from silicon arrays in primate motor cortex during a 2D center out task.
    Wang D; Zhang Q; Li Y; Wang Y; Zhu J; Zhang S; Zheng X
    J Neural Eng; 2014 Jun; 11(3):036009. PubMed ID: 24809544
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Decoding Three-Dimensional Trajectory of Executed and Imagined Arm Movements From Electroencephalogram Signals.
    Kim JH; Bießmann F; Lee SW
    IEEE Trans Neural Syst Rehabil Eng; 2015 Sep; 23(5):867-76. PubMed ID: 25474811
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Adaptive neuron-to-EMG decoder training for FES neuroprostheses.
    Ethier C; Acuna D; Solla SA; Miller LE
    J Neural Eng; 2016 Aug; 13(4):046009. PubMed ID: 27247280
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improving brain-machine interface performance by decoding intended future movements.
    Willett FR; Suminski AJ; Fagg AH; Hatsopoulos NG
    J Neural Eng; 2013 Apr; 10(2):026011. PubMed ID: 23428966
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Latent Factors and Dynamics in Motor Cortex and Their Application to Brain-Machine Interfaces.
    Pandarinath C; Ames KC; Russo AA; Farshchian A; Miller LE; Dyer EL; Kao JC
    J Neurosci; 2018 Oct; 38(44):9390-9401. PubMed ID: 30381431
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Decoding the non-stationary neuron spike trains by dual Monte Carlo point process estimation in motor Brain Machine Interfaces.
    Liao Y; Li H; Zhang Q; Fan G; Wang Y; Zheng X
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():6513-6. PubMed ID: 25571488
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces.
    Zhang X; Libedinsky C; So R; Principe JC; Wang Y
    IEEE Trans Neural Syst Rehabil Eng; 2019 Sep; 27(9):1684-1694. PubMed ID: 31403433
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Real-time linear prediction of simultaneous and independent movements of two finger groups using an intracortical brain-machine interface.
    Nason SR; Mender MJ; Vaskov AK; Willsey MS; Ganesh Kumar N; Kung TA; Patil PG; Chestek CA
    Neuron; 2021 Oct; 109(19):3164-3177.e8. PubMed ID: 34499856
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A muscle-activity-dependent gain between motor cortex and EMG.
    Naufel S; Glaser JI; Kording KP; Perreault EJ; Miller LE
    J Neurophysiol; 2019 Jan; 121(1):61-73. PubMed ID: 30379603
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A cryptography-based approach for movement decoding.
    Dyer EL; Gheshlaghi Azar M; Perich MG; Fernandes HL; Naufel S; Miller LE; Körding KP
    Nat Biomed Eng; 2017 Dec; 1(12):967-976. PubMed ID: 31015712
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A non-linear mapping algorithm shaping the control policy of a bidirectional brain machine interface.
    Boi F; Semprini M; Vato A
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3052-3055. PubMed ID: 28268955
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Parameter estimation for maximizing controllability of linear brain-machine interfaces.
    Gowda S; Orsborn AL; Carmena JM
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():1314-7. PubMed ID: 23366140
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network.
    Tseng PH; Urpi NA; Lebedev M; Nicolelis M
    Neural Comput; 2019 Jun; 31(6):1085-1113. PubMed ID: 30979355
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.