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Philip Sabes, PhD

Title(s)Professor Emeritus, Physiology
SchoolSchool of Medicine
Phone415-502-7372
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    The Sabes Lab studies how the brain uses sensory feedback to maintain accurate and adaptive movement control. His lab also applies this research to the development of Brain Machine Interfaces (BMIs). They recently demonstrated a novel learning-based approach to providing artificial sensory feedback to the brain. A goal of this work is to allow users to feel artificial devices they control via BMIs. His lab is also developing neural interfaces for both next-generation studies of brain-wide sensorimotor circuits and for the combined “read out” and “write in” of BMI signals across these circuits.

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    A New Scalable Approach to High Bandwidth, Minimally Invasive Neural Recording and Stimulation
    DARPA W911NF-15-2-0054Jun 15, 2015 - Sep 14, 2017
    Role: Principal Investigator
    Restoring proprioception via a cortical prosthesis: A novel learning-based approach
    CDMRP - Spinal Cord Injury Research Program W81XWH-14-1-0510Oct 1, 2014 - Sep 30, 2017
    Role: Principal Investigator
    Unlearning neural systems dysfunction in neuropsychiatric disorders
    DARPA W911NF-14-2-0043Jul 1, 2014 - Jun 3, 2019
    Role: Co-Investigato
    Visuomotor adaptation in reaching
    NIH/NEI R01EY015679Sep 1, 2004 - Jun 30, 2013
    Role: Principal Investigator

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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. Yazdan-Shahmorad A, Silversmith DB, Sabes PN. Novel techniques for large-scale manipulations of cortical networks in non-human primates. Conf Proc IEEE Eng Med Biol Soc. 2018 Jul; 2018:5479-5482. PMID: 30441577.
      View in: PubMed
    2. Yazdan-Shahmorad A, Silversmith DB, Kharazia V, Sabes PN. Targeted cortical reorganization using optogenetics in non-human primates. Elife. 2018 May 29; 7. PMID: 29809133.
      View in: PubMed
    3. Makin JG, O'Doherty JE, Cardoso MMB, Sabes PN. Superior arm-movement decoding from cortex with a new, unsupervised-learning algorithm. J Neural Eng. 2018 Apr; 15(2):026010. PMID: 29192609.
      View in: PubMed
    4. Yazdan-Shahmorad A, Tian N, Kharazia V, Samaranch L, Kells A, Bringas J, He J, Bankiewicz K, Sabes PN. Widespread optogenetic expression in macaque cortex obtained with MR-guided, convection enhanced delivery (CED) of AAV vector to the thalamus. J Neurosci Methods. 2018 Jan 01; 293:347-358. PMID: 29042259.
      View in: PubMed
    5. Diaz-Botia CA, Luna LE, Neely RM, Chamanzar M, Carraro C, Carmena JM, Sabes PN, Maboudian R, Maharbiz MM. A silicon carbide array for electrocorticography and peripheral nerve recording. J Neural Eng. 2017 Oct; 14(5):056006. PMID: 28573982.
      View in: PubMed
    6. Chaisanguanthum KS, Shen HH, Sabes PN. Neural Representation and Causal Models in Motor Cortex. J Neurosci. 2017 03 22; 37(12):3413-3424. PMID: 28219983.
      View in: PubMed
    7. Dadarlat MC, Sabes PN. Encoding and Decoding of Multi-Channel ICMS in Macaque Somatosensory Cortex. IEEE Trans Haptics. 2016 Oct-Dec; 9(4):508-514. PMID: 27740497.
      View in: PubMed
    8. Yazdan-Shahmorad A, Diaz-Botia C, Hanson TL, Kharazia V, Ledochowitsch P, Maharbiz MM, Sabes PN. A Large-Scale Interface for Optogenetic Stimulation and Recording in Nonhuman Primates. Neuron. 2016 Mar 02; 89(5):927-39. PMID: 26875625.
      View in: PubMed
    9. Makin JG, Dichter BK, Sabes PN. Learning to Estimate Dynamical State with Probabilistic Population Codes. PLoS Comput Biol. 2015 Nov; 11(11):e1004554. PMID: 26540152; PMCID: PMC4634970.
      View in: PubMed, PubMed Central
    10. Ledochowitsch P, Yazdan-Shahmorad A, Bouchard KE, Diaz-Botia C, Hanson TL, He JW, Seybold BA, Olivero E, Phillips EA, Blanche TJ, Schreiner CE, Hasenstaub A, Chang EF, Sabes PN, Maharbiz MM. Strategies for optical control and simultaneous electrical readout of extended cortical circuits. J Neurosci Methods. 2015 Dec 30; 256:220-31. PMID: 26296286.
      View in: PubMed
    11. Dadarlat MC, O'Doherty JE, Sabes PN. A learning-based approach to artificial sensory feedback leads to optimal integration. Nat Neurosci. 2015 Jan; 18(1):138-44. PMID: 25420067; PMCID: PMC4282864.
      View in: PubMed, PubMed Central
    12. Chaisanguanthum KS, Shen HH, Sabes PN. Motor variability arises from a slow random walk in neural state. J Neurosci. 2014 Sep 03; 34(36):12071-80. PMID: 25186752; PMCID: PMC4152607.
      View in: PubMed, PubMed Central
    13. Makin JG, Fellows MR, Sabes PN. Learning multisensory integration and coordinate transformation via density estimation. PLoS Comput Biol. 2013 Apr; 9(4):e1003035. PMID: 23637588; PMCID: PMC3630212.
      View in: PubMed, PubMed Central
    14. Verstynen T, Sabes PN. How each movement changes the next: an experimental and theoretical study of fast adaptive priors in reaching. J Neurosci. 2011 Jul 06; 31(27):10050-9. PMID: 21734297; PMCID: PMC3148097.
      View in: PubMed, PubMed Central
    15. McGuire LM, Sabes PN. Heterogeneous representations in the superior parietal lobule are common across reaches to visual and proprioceptive targets. J Neurosci. 2011 May 04; 31(18):6661-73. PMID: 21543595; PMCID: PMC3100795.
      View in: PubMed, PubMed Central
    16. Sabes PN. Sensory integration for reaching: models of optimality in the context of behavior and the underlying neural circuits. Prog Brain Res. 2011; 191:195-209. PMID: 21741553; PMCID: PMC3361512.
      View in: PubMed, PubMed Central
    17. McGuire LM, Sabes PN. Sensory transformations and the use of multiple reference frames for reach planning. Nat Neurosci. 2009 Aug; 12(8):1056-61. PMID: 19597495; PMCID: PMC2749235.
      View in: PubMed, PubMed Central
    18. Simani MC, McGuire LM, Sabes PN. Visual-shift adaptation is composed of separable sensory and task-dependent effects. J Neurophysiol. 2007 Nov; 98(5):2827-41. PMID: 17728389; PMCID: PMC2536598.
      View in: PubMed, PubMed Central
    19. Cheng S, Sabes PN. Calibration of visually guided reaching is driven by error-corrective learning and internal dynamics. J Neurophysiol. 2007 Apr; 97(4):3057-69. PMID: 17202230; PMCID: PMC2536620.
      View in: PubMed, PubMed Central
    20. Cheng S, Sabes PN. Modeling sensorimotor learning with linear dynamical systems. Neural Comput. 2006 Apr; 18(4):760-93. PMID: 16494690; PMCID: PMC2536592.
      View in: PubMed, PubMed Central
    21. Sober SJ, Sabes PN. Flexible strategies for sensory integration during motor planning. Nat Neurosci. 2005 Apr; 8(4):490-7. PMID: 15793578; PMCID: PMC2538489.
      View in: PubMed, PubMed Central
    22. Sober SJ, Sabes PN. Multisensory integration during motor planning. J Neurosci. 2003 Aug 06; 23(18):6982-92. PMID: 12904459.
      View in: PubMed
    23. Sabes PN, Breznen B, Andersen RA. Parietal representation of object-based saccades. J Neurophysiol. 2002 Oct; 88(4):1815-29. PMID: 12364508.
      View in: PubMed
    24. Sabes PN. The planning and control of reaching movements. Curr Opin Neurobiol. 2000 Dec; 10(6):740-6. PMID: 11240283.
      View in: PubMed
    25. Sabes PN, Jordan MI, Wolpert DM. The role of inertial sensitivity in motor planning. J Neurosci. 1998 Aug 01; 18(15):5948-57. PMID: 9671681.
      View in: PubMed
    26. Sabes PN, Jordan MI. Obstacle avoidance and a perturbation sensitivity model for motor planning. J Neurosci. 1997 Sep 15; 17(18):7119-28. PMID: 9278546.
      View in: PubMed
    27. Kelton KF, Gibbons PC, Sabes PN. New icosahedral phases in Ti-transition-metal alloys. Phys Rev B Condens Matter. 1988 Oct 15; 38(11):7810-7813. PMID: 9945513.
      View in: PubMed
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