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Items: 1 to 20 of 71

1.

Mutual information analysis on non-stationary neuron importance for brain machine interfaces.

Liao Y, Wang Y, Zheng X, Principe JC.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:2748-51. doi: 10.1109/EMBC.2012.6346533.

PMID:
23366494
2.

Tracking the non-stationary neuron tuning by dual Kalman filter for brain machine interfaces decoding.

Wang Y, Principe JC.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:1720-3. doi: 10.1109/IEMBS.2008.4649508.

PMID:
19163011
3.

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.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:6513-6. doi: 10.1109/EMBC.2014.6945120.

PMID:
25571488
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. doi: 10.1088/1741-2560/10/2/026008. Epub 2013 Feb 21.

PMID:
23428877
5.

Ascertaining neuron importance by information theoretical analysis in motor Brain-Machine Interfaces.

Wang Y, Principe JC, Sanchez JC.

Neural Netw. 2009 Jul-Aug;22(5-6):781-90. doi: 10.1016/j.neunet.2009.06.007. Epub 2009 Jun 30.

PMID:
19615852
6.

Dynamic analyses of information encoding in neural ensembles.

Barbieri R, Frank LM, Nguyen DP, Quirk MC, Solo V, Wilson MA, Brown EN.

Neural Comput. 2004 Feb;16(2):277-307.

PMID:
15006097
7.

Sequential Monte Carlo point-process estimation of kinematics from neural spiking activity for brain-machine interfaces.

Wang Y, Paiva AR, Príncipe JC, Sanchez JC.

Neural Comput. 2009 Oct;21(10):2894-930. doi: 10.1162/neco.2009.01-08-699.

PMID:
19548797
8.

A stabilized dual Kalman filter for adaptive tracking of brain-computer interface decoding parameters.

Zhang Y, Chase SM.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:7100-3. doi: 10.1109/EMBC.2013.6611194.

PMID:
24111381
9.

Investigating the role of firing-rate normalization and dimensionality reduction in brain-machine interface robustness.

Kao JC, Nuyujukian P, Stavisky S, Ryu SI, Ganguli S, Shenoy KV.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:293-8. doi: 10.1109/EMBC.2013.6609495.

PMID:
24109682
10.

Information analysis on neural tuning in dorsal premotor cortex for reaching and grasping.

Cao Y, Hao Y, Liao Y, Xu K, Wang Y, Zhang S, Zhang Q, Chen W, Zheng X.

Comput Math Methods Med. 2013;2013:730374. doi: 10.1155/2013/730374. Epub 2013 May 27.

11.

Likelihood Gradient Ascent (LGA): a closed-loop decoder adaptation algorithm for brain-machine interfaces.

Dangi S, Gowda S, Carmena JM.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:2768-71. doi: 10.1109/EMBC.2013.6610114.

PMID:
24110301
12.

When and why noise correlations are important in neural decoding.

Eyherabide HG, Samengo I.

J Neurosci. 2013 Nov 6;33(45):17921-36. doi: 10.1523/JNEUROSCI.0357-13.2013.

13.

Parameter estimation for maximizing controllability of linear brain-machine interfaces.

Gowda S, Orsborn AL, Carmena JM.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:1314-7. doi: 10.1109/EMBC.2012.6346179.

PMID:
23366140
14.

Sparse decoding of multiple spike trains for brain-machine interfaces.

Tankus A, Fried I, Shoham S.

J Neural Eng. 2012 Oct;9(5):054001. Epub 2012 Sep 6.

15.

A 128-Channel Extreme Learning Machine-Based Neural Decoder for Brain Machine Interfaces.

Chen Y, Yao E, Basu A.

IEEE Trans Biomed Circuits Syst. 2016 Jun;10(3):679-92. doi: 10.1109/TBCAS.2015.2483618. Epub 2015 Dec 7.

PMID:
26672048
16.

Brain-machine interfaces beyond neuroprosthetics.

Moxon KA, Foffani G.

Neuron. 2015 Apr 8;86(1):55-67. doi: 10.1016/j.neuron.2015.03.036. Review.

17.

Designing dynamical properties of brain-machine interfaces to optimize task-specific performance.

Gowda S, Orsborn AL, Overduin SA, Moorman HG, Carmena JM.

IEEE Trans Neural Syst Rehabil Eng. 2014 Sep;22(5):911-20. doi: 10.1109/TNSRE.2014.2309673. Epub 2014 Mar 5.

PMID:
24760941
18.

Neuron selection for decoding dexterous finger movements.

Kahn K, Sheiber M, Thakor N, Sarma SV.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:4605-8. doi: 10.1109/IEMBS.2011.6091140.

PMID:
22255363
19.

The potential of multilateral analyses of neuronal activities in future brain-machine interface research.

Sakamoto K.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:2228-31. doi: 10.1109/EMBC.2013.6609979.

PMID:
24110166
20.

Evaluation of spike-detection algorithms for a brain-machine interface application.

Obeid I, Wolf PD.

IEEE Trans Biomed Eng. 2004 Jun;51(6):905-11.

PMID:
15188857

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