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Joseph Makin, PhD

TitleAssociate Researcher
InstitutionUniversity of California San Francisco
DepartmentNeurological Surgery
AddressLocation Required
Varies CA 00000
Phone415-502-7397
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    Joseph Makin received his Ph.D. in electrical engineering and computer science from U.C. Berkeley in 2008, specializing in control theory. He is currently a postdoctoral researcher at the Center for Integrative Neuroscience, U.C. San Francisco. His interests lie at the intersection of control theory, machine learning, complex systems, and computational neuroscience. Currently his focus is on computational models of multisensory processing and motor control in cortical circuits.


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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. 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
    2. 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
    3. Advances in Neural Information Processing Systems 27: Proceedings of the 2014 Conference. Sensory Integration and Density Estimation. 2015.
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    4. Makin JG, Narayanan S. A hybrid-system model of the coagulation cascade: simulation, sensitivity, and validation. J Bioinform Comput Biol. 2013 Oct; 11(5):1342004. PMID: 24131053.
      View in: PubMed
    5. 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
    6. Makin JG and Narayanan S.Proceedings of the 5th International Conference on Bioinformatics and Computational Biology (BICOB-2013) . A Hybrid-System Model of the Coagulation Cascade. 2013; 205-212.
    7. Makin JG and Narayanan S.Real-time control of human coagulation. IET Control Theory & Applications. 2012; 6(17):2630-2643.
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    8. Makin JG and Molter LA.Proceedings of the Optical Fiber Conference. Generalized Switching, Splitting, and Multiplexing Operations Using Circular Arrays of Coupled Waveguides . 2003; 1:47-50.
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