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Items: 30

1.

A Modular Implant System for Multimodal Recording and Manipulation of the Primate Brain.

Kleinbart JE, Orsborn AL, Choi JS, Wang C, Qiao S, Viventi J, Pesaran B.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:3362-3365. doi: 10.1109/EMBC.2018.8512993.

PMID:
30441108
2.

Monkey-MIMMS: Towards Automated Cellular Resolution Large- Scale Two-Photon Microscopy In The Awake Macaque Monkey.

Choi J, Goncharov V, Kleinbart J, Orsborn A, Pesaran B.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:3013-3016. doi: 10.1109/EMBC.2018.8512994.

PMID:
30441031
3.

Parsing learning in networks using brain-machine interfaces.

Orsborn AL, Pesaran B.

Curr Opin Neurobiol. 2017 Oct;46:76-83. doi: 10.1016/j.conb.2017.08.002. Epub 2017 Aug 24. Review.

4.

Development of semi-chronic microdrive system for large-scale circuit mapping in macaque mesolimbic and basal ganglia systems.

Shaoyu Qiao, Brown KA, Orsborn AL, Ferrentino B, Pesaran B.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:5825-5828. doi: 10.1109/EMBC.2016.7592052.

PMID:
28269579
5.

Rapid control and feedback rates enhance neuroprosthetic control.

Shanechi MM, Orsborn AL, Moorman HG, Gowda S, Dangi S, Carmena JM.

Nat Commun. 2017 Jan 6;8:13825. doi: 10.1038/ncomms13825.

6.

Robotic i.v. medication compounding: Recommendations from the international community of APOTECAchemo users.

Yaniv AW, Orsborn A, Bonkowski JJ, Chew L, Krämer I, Calabrese S, de la Paz Pacheco Ramos M, Palombi A, Lim SW, Tabbara O, Masini C, Schierl R, Bufarini C, Peaty N, Paolucci D.

Am J Health Syst Pharm. 2017 Jan 1;74(1):e40-e46. doi: 10.2146/ajhp151027. Epub 2016 Dec 22.

PMID:
28007720
7.

Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering.

Shanechi MM, Orsborn AL, Carmena JM.

PLoS Comput Biol. 2016 Apr 1;12(4):e1004730. doi: 10.1371/journal.pcbi.1004730. eCollection 2016 Apr.

8.

High-performance brain-machine interface enabled by an adaptive optimal feedback-controlled point process decoder.

Shanechi MM, Orsborn A, Moorman H, Gowda S, Carmena JM.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:6493-6. doi: 10.1109/EMBC.2014.6945115.

PMID:
25571483
9.

Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control.

Orsborn AL, Moorman HG, Overduin SA, Shanechi MM, Dimitrov DF, Carmena JM.

Neuron. 2014 Jun 18;82(6):1380-93. doi: 10.1016/j.neuron.2014.04.048.

10.

Continuous closed-loop decoder adaptation with a recursive maximum likelihood algorithm allows for rapid performance acquisition in brain-machine interfaces.

Dangi S, Gowda S, Moorman HG, Orsborn AL, So K, Shanechi M, Carmena JM.

Neural Comput. 2014 Sep;26(9):1811-39. doi: 10.1162/NECO_a_00632. Epub 2014 Jun 12.

PMID:
24922501
11.

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
12.

Subject-specific modulation of local field potential spectral power during brain-machine interface control in primates.

So K, Dangi S, Orsborn AL, Gastpar MC, Carmena JM.

J Neural Eng. 2014 Apr;11(2):026002. doi: 10.1088/1741-2560/11/2/026002. Epub 2014 Feb 6.

PMID:
24503623
13.

Creating new functional circuits for action via brain-machine interfaces.

Orsborn AL, Carmena JM.

Front Comput Neurosci. 2013 Nov 5;7:157. doi: 10.3389/fncom.2013.00157. Review.

14.

Brain-machine interface control using broadband spectral power from local field potentials.

Dangi S, So K, Orsborn AL, Gastpar MC, Carmena JM.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:285-8. doi: 10.1109/EMBC.2013.6609493.

PMID:
24109680
15.

Design and analysis of closed-loop decoder adaptation algorithms for brain-machine interfaces.

Dangi S, Orsborn AL, Moorman HG, Carmena JM.

Neural Comput. 2013 Jul;25(7):1693-731. doi: 10.1162/NECO_a_00460. Epub 2013 Apr 22.

PMID:
23607558
16.

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
17.

Closed-loop decoder adaptation on intermediate time-scales facilitates rapid BMI performance improvements independent of decoder initialization conditions.

Orsborn AL, Dangi S, Moorman HG, Carmena JM.

IEEE Trans Neural Syst Rehabil Eng. 2012 Jul;20(4):468-77. doi: 10.1109/TNSRE.2012.2185066.

PMID:
22772374
18.

Exploring time-scales of closed-loop decoder adaptation in brain-machine interfaces.

Orsborn AL, Dangi S, Moorman HG, Carmena JM.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:5436-9. doi: 10.1109/IEMBS.2011.6091387.

PMID:
22255567
19.

Inconsistent handedness and saccade execution benefit face memory without affecting interhemispheric interaction.

Lyle KB, Orsborn AE.

Memory. 2011 Aug;19(6):613-24. doi: 10.1080/09658211.2011.595418.

PMID:
21919589
20.

Cortical representation of ipsilateral arm movements in monkey and man.

Ganguly K, Secundo L, Ranade G, Orsborn A, Chang EF, Dimitrov DF, Wallis JD, Barbaro NM, Knight RT, Carmena JM.

J Neurosci. 2009 Oct 14;29(41):12948-56. doi: 10.1523/JNEUROSCI.2471-09.2009.

21.

Genetic analysis of the Caenorhabditis elegans GLH family of P-granule proteins.

Spike C, Meyer N, Racen E, Orsborn A, Kirchner J, Kuznicki K, Yee C, Bennett K, Strome S.

Genetics. 2008 Apr;178(4):1973-87. doi: 10.1534/genetics.107.083469.

22.

The effects of exposure to muscular male models among men: exploring the moderating role of gym use and exercise motivation.

Halliwell E, Dittmar H, Orsborn A.

Body Image. 2007 Sep;4(3):278-87. Epub 2007 Jun 26.

PMID:
18089274
23.

GLH-1, the C. elegans P granule protein, is controlled by the JNK KGB-1 and by the COP9 subunit CSN-5.

Orsborn AM, Li W, McEwen TJ, Mizuno T, Kuzmin E, Matsumoto K, Bennett KL.

Development. 2007 Sep;134(18):3383-92. Epub 2007 Aug 15.

24.

The GLH proteins, Caenorhabditis elegans P granule components, associate with CSN-5 and KGB-1, proteins necessary for fertility, and with ZYX-1, a predicted cytoskeletal protein.

Smith P, Leung-Chiu WM, Montgomery R, Orsborn A, Kuznicki K, Gressman-Coberly E, Mutapcic L, Bennett K.

Dev Biol. 2002 Nov 15;251(2):333-47.

25.

A high-resolution genetic map of the familial Mediterranean fever candidate region allows identification of haplotype-sharing among ethnic groups.

Balow JE Jr, Shelton DA, Orsborn A, Mangelsdorf M, Aksentijevich I, Blake T, Sood R, Gardner D, Liu R, Pras E, Levy EN, Centola M, Deng Z, Zaks N, Wood G, Chen X, Richards N, Shohat M, Livneh A, Pras M, Doggett NA, Collins FS, Liu PP, Rotter JI, Kastner DL, et al.

Genomics. 1997 Sep 15;44(3):280-91.

PMID:
9325049
26.

Construction of a 1-Mb restriction-mapped cosmid contig containing the candidate region for the familial Mediterranean fever locus (MEFV) on chromosome 16p 13.3.

Sood R, Blake T, Aksentijevich I, Wood G, Chen X, Gardner D, Shelton DA, Mangelsdorf M, Orsborn A, Pras E, Balow JE Jr, Centola M, Deng Z, Zaks N, Chen X, Richards N, Fischel-Ghodsian N, Rotter JI, Pras M, Shohat M, Deaven LL, Gumucio DL, Callen DF, Richards RI, Doggett NA, et al.

Genomics. 1997 May 15;42(1):83-95.

PMID:
9177779
27.

Cloning of the sulphamidase gene and identification of mutations in Sanfilippo A syndrome.

Scott HS, Blanch L, Guo XH, Freeman C, Orsborn A, Baker E, Sutherland GR, Morris CP, Hopwood JJ.

Nat Genet. 1995 Dec;11(4):465-7.

PMID:
7493035
28.

The morquio A syndrome (mucopolysaccharidosis IVA) gene maps to 16q24.3.

Baker E, Guo XH, Orsborn AM, Sutherland GR, Callen DF, Hopwood JJ, Morris CP.

Am J Hum Genet. 1993 Jan;52(1):96-8.

29.

Human alpha-L-iduronidase: cDNA isolation and expression.

Scott HS, Anson DS, Orsborn AM, Nelson PV, Clements PR, Morris CP, Hopwood JJ.

Proc Natl Acad Sci U S A. 1991 Nov 1;88(21):9695-9.

30.

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