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Items: 1 to 50 of 88

1.

Neural reinforcement: re-entering and refining neural dynamics leading to desirable outcomes.

Athalye VR, Carmena JM, Costa RM.

Curr Opin Neurobiol. 2019 Dec 23;60:145-154. doi: 10.1016/j.conb.2019.11.023. [Epub ahead of print] Review.

PMID:
31877493
2.

A wireless and artefact-free 128-channel neuromodulation device for closed-loop stimulation and recording in non-human primates.

Zhou A, Santacruz SR, Johnson BC, Alexandrov G, Moin A, Burghardt FL, Rabaey JM, Carmena JM, Muller R.

Nat Biomed Eng. 2019 Jan;3(1):15-26. doi: 10.1038/s41551-018-0323-x. Epub 2018 Dec 31.

3.

A high-density carbon fiber neural recording array technology.

Massey TL, Santacruz SR, Hou JF, Pister KSJ, Carmena JM, Maharbiz MM.

J Neural Eng. 2019 Feb;16(1):016024. doi: 10.1088/1741-2552/aae8d9. Epub 2018 Oct 16.

PMID:
30524060
4.

Volitional Modulation of Primary Visual Cortex Activity Requires the Basal Ganglia.

Neely RM, Koralek AC, Athalye VR, Costa RM, Carmena JM.

Neuron. 2018 Mar 21;97(6):1356-1368.e4. doi: 10.1016/j.neuron.2018.01.051. Epub 2018 Mar 1.

5.

Evidence for a neural law of effect.

Athalye VR, Santos FJ, Carmena JM, Costa RM.

Science. 2018 Mar 2;359(6379):1024-1029. doi: 10.1126/science.aao6058.

PMID:
29496877
6.

Recent advances in neural dust: towards a neural interface platform.

Neely RM, Piech DK, Santacruz SR, Maharbiz MM, Carmena JM.

Curr Opin Neurobiol. 2018 Jun;50:64-71. doi: 10.1016/j.conb.2017.12.010. Epub 2018 Jan 11. Review.

PMID:
29331738
7.

Four ethical priorities for neurotechnologies and AI.

Yuste R, Goering S, Arcas BAY, Bi G, Carmena JM, Carter A, Fins JJ, Friesen P, Gallant J, Huggins JE, Illes J, Kellmeyer P, Klein E, Marblestone A, Mitchell C, Parens E, Pham M, Rubel A, Sadato N, Sullivan LS, Teicher M, Wasserman D, Wexler A, Whittaker M, Wolpaw J.

Nature. 2017 Nov 8;551(7679):159-163. doi: 10.1038/551159a. No abstract available.

PMID:
29120438
8.

Caudate Microstimulation Increases Value of Specific Choices.

Santacruz SR, Rich EL, Wallis JD, Carmena JM.

Curr Biol. 2017 Nov 6;27(21):3375-3383.e3. doi: 10.1016/j.cub.2017.09.051. Epub 2017 Oct 26.

9.

A silicon carbide array for electrocorticography and peripheral nerve recording.

Diaz-Botia CA, Luna LE, Neely RM, Chamanzar M, Carraro C, Carmena JM, Sabes PN, Maboudian R, Maharbiz MM.

J Neural Eng. 2017 Oct;14(5):056006. doi: 10.1088/1741-2552/aa7698. Epub 2017 Jun 2.

PMID:
28573982
10.

Beta band oscillations in motor cortex reflect neural population signals that delay movement onset.

Khanna P, Carmena JM.

Elife. 2017 May 3;6. pii: e24573. doi: 10.7554/eLife.24573.

11.

Modeling distinct sources of neural variability driving neuroprosthetic control.

Khanna P, Athalye VR, Gowda S, Costa RM, Carmena JM.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:3068-3071. doi: 10.1109/EMBC.2016.7591377.

PMID:
28268959
12.

Emergence of Coordinated Neural Dynamics Underlies Neuroprosthetic Learning and Skillful Control.

Athalye VR, Ganguly K, Costa RM, Carmena JM.

Neuron. 2017 Feb 22;93(4):955-970.e5. doi: 10.1016/j.neuron.2017.01.016. Epub 2017 Feb 9.

13.

Neurofeedback Control in Parkinsonian Patients Using Electrocorticography Signals Accessed Wirelessly With a Chronic, Fully Implanted Device.

Khanna P, Swann NC, de Hemptinne C, Miocinovic S, Miller A, Starr PA, Carmena JM.

IEEE Trans Neural Syst Rehabil Eng. 2017 Oct;25(10):1715-1724. doi: 10.1109/TNSRE.2016.2597243. Epub 2016 Aug 24.

14.

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.

15.

Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust.

Seo D, Neely RM, Shen K, Singhal U, Alon E, Rabaey JM, Carmena JM, Maharbiz MM.

Neuron. 2016 Aug 3;91(3):529-39. doi: 10.1016/j.neuron.2016.06.034.

16.

Control of Redundant Kinematic Degrees of Freedom in a Closed-Loop Brain-Machine Interface.

Moorman HG, Gowda S, Carmena JM.

IEEE Trans Neural Syst Rehabil Eng. 2017 Jun;25(6):750-760. doi: 10.1109/TNSRE.2016.2593696. Epub 2016 Jul 21.

PMID:
27455526
17.

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.

18.

Ultrasonic beamforming system for interrogating multiple implantable sensors.

Dongjin Seo, Hao-Yen Tang, Carmena JM, Rabaey JM, Alon E, Boser BE, Maharbiz MM.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:2673-6. doi: 10.1109/EMBC.2015.7318942.

PMID:
26736842
19.

Representation of Muscle Synergies in the Primate Brain.

Overduin SA, d'Avella A, Roh J, Carmena JM, Bizzi E.

J Neurosci. 2015 Sep 16;35(37):12615-24. doi: 10.1523/JNEUROSCI.4302-14.2015. Review.

20.

Accelerating Submovement Decomposition With Search-Space Reduction Heuristics.

Gowda S, Overduin SA, Chen M, Chang YH, Tomlin CJ, Carmena JM.

IEEE Trans Biomed Eng. 2015 Oct;62(10):2508-15. doi: 10.1109/TBME.2015.2434595. Epub 2015 May 18.

PMID:
26011861
21.

Disentangling multidimensional spatio-temporal data into their common and aberrant responses.

Chang YH, Korkola J, Amin DN, Moasser MM, Carmena JM, Gray JW, Tomlin CJ.

PLoS One. 2015 Apr 22;10(4):e0121607. doi: 10.1371/journal.pone.0121607. eCollection 2015.

22.

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
23.

Beamforming approaches for untethered, ultrasonic neural dust motes for cortical recording: a simulation study.

Bertrand A, Seo D, Maksimovic F, Carmena JM, Maharbiz MM, Alon E, Rabaey JM.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:2625-8. doi: 10.1109/EMBC.2014.6944161.

PMID:
25570529
24.

Neural oscillations: beta band activity across motor networks.

Khanna P, Carmena JM.

Curr Opin Neurobiol. 2015 Jun;32:60-7. doi: 10.1016/j.conb.2014.11.010. Epub 2014 Dec 17. Review.

PMID:
25528615
25.

Combining decoder design and neural adaptation in brain-machine interfaces.

Shenoy KV, Carmena JM.

Neuron. 2014 Nov 19;84(4):665-80. doi: 10.1016/j.neuron.2014.08.038. Epub 2014 Nov 19.

26.

Model validation of untethered, ultrasonic neural dust motes for cortical recording.

Seo D, Carmena JM, Rabaey JM, Maharbiz MM, Alon E.

J Neurosci Methods. 2015 Apr 15;244:114-22. doi: 10.1016/j.jneumeth.2014.07.025. Epub 2014 Aug 7.

PMID:
25109901
27.

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.

28.

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
29.

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
30.

Volitional modulation of optically recorded calcium signals during neuroprosthetic learning.

Clancy KB, Koralek AC, Costa RM, Feldman DE, Carmena JM.

Nat Neurosci. 2014 Jun;17(6):807-809. doi: 10.1038/nn.3712. Epub 2014 Apr 13.

31.

Muscle synergies evoked by microstimulation are preferentially encoded during behavior.

Overduin SA, d'Avella A, Carmena JM, Bizzi E.

Front Comput Neurosci. 2014 Mar 5;8:20. doi: 10.3389/fncom.2014.00020. eCollection 2014.

32.

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
33.

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.

34.

Physical principles for scalable neural recording.

Marblestone AH, Zamft BM, Maguire YG, Shapiro MG, Cybulski TR, Glaser JI, Amodei D, Stranges PB, Kalhor R, Dalrymple DA, Seo D, Alon E, Maharbiz MM, Carmena JM, Rabaey JM, Boyden ES, Church GM, Kording KP.

Front Comput Neurosci. 2013 Oct 21;7:137. doi: 10.3389/fncom.2013.00137. eCollection 2013.

35.

Sub-mm functional decoupling of electrocortical signals through closed-loop BMI learning.

Ledochowitsch P, Koralek AC, Moses D, Carmena JM, Maharbiz MM.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:5622-5. doi: 10.1109/EMBC.2013.6610825.

PMID:
24111012
36.

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
37.

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
38.

Equalization for intracortical microstimulation artifact reduction.

Chu P, Muller R, Koralek A, Carmena JM, Rabaey JM, Gambini S.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:245-8. doi: 10.1109/EMBC.2013.6609483.

PMID:
24109670
39.

Temporally precise cell-specific coherence develops in corticostriatal networks during learning.

Koralek AC, Costa RM, Carmena JM.

Neuron. 2013 Sep 4;79(5):865-72. doi: 10.1016/j.neuron.2013.06.047. Epub 2013 Aug 15.

40.

Advances in neuroprosthetic learning and control.

Carmena JM.

PLoS Biol. 2013;11(5):e1001561. doi: 10.1371/journal.pbio.1001561. Epub 2013 May 21.

41.

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
42.

Dynamic changes of rodent somatosensory barrel cortex are correlated with learning a novel conditioned stimulus.

Long JD 2nd, Carmena JM.

J Neurophysiol. 2013 May;109(10):2585-95. doi: 10.1152/jn.00553.2012. Epub 2013 Mar 6.

43.

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
44.

Task-dependent changes in cross-level coupling between single neurons and oscillatory activity in multiscale networks.

Canolty RT, Ganguly K, Carmena JM.

PLoS Comput Biol. 2012;8(12):e1002809. doi: 10.1371/journal.pcbi.1002809. Epub 2012 Dec 20.

45.

Microstimulation activates a handful of muscle synergies.

Overduin SA, d'Avella A, Carmena JM, Bizzi E.

Neuron. 2012 Dec 20;76(6):1071-7. doi: 10.1016/j.neuron.2012.10.018.

46.
47.

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
48.

Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills.

Koralek AC, Jin X, Long JD 2nd, Costa RM, Carmena JM.

Nature. 2012 Mar 4;483(7389):331-5. doi: 10.1038/nature10845.

49.

Assessing functional connectivity of neural ensembles using directed information.

So K, Koralek AC, Ganguly K, Gastpar MC, Carmena JM.

J Neural Eng. 2012 Apr;9(2):026004. doi: 10.1088/1741-2560/9/2/026004. Epub 2012 Feb 13.

PMID:
22328616
50.

A statistical description of neural ensemble dynamics.

Long JD 2nd, Carmena JM.

Front Comput Neurosci. 2011 Nov 28;5:52. doi: 10.3389/fncom.2011.00052. eCollection 2011.

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