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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=Default><span style='font-size:10.0pt;color:windowtext'>Keck Seminar </span><span style='font-size:10.0pt;color:windowtext'><o:p></o:p></span></p><p class=Default><span style='font-size:10.0pt;color:windowtext'>Friday, September 14, 4pm </span><span style='font-size:10.0pt;color:windowtext'><o:p></o:p></span></p><p class=Default><span style='font-size:10.0pt;color:windowtext'>BRC Auditorium </span><span style='font-size:10.0pt;color:windowtext'><o:p></o:p></span></p><p class=Default><span style='font-size:10.0pt;color:windowtext'>6500 Main, Corner of University & Main </span><span style='font-size:10.0pt;color:windowtext'><o:p></o:p></span></p><p class=Default><span style='font-size:10.0pt;color:#212121'>Generalized Brain-Machine-Interfacing for Neuromodulation </span><span style='font-size:10.0pt;color:#212121'><o:p></o:p></span></p><p class=Default><span style='font-size:10.0pt'>by Tim Denison, Ph.D. Director of Neuroengineering Medtronic <o:p></o:p></span></p><p class=Default><span style='font-size:10.0pt'><o:p> </o:p></span></p><p class=Default><b><span style='font-size:10.0pt'>Abstract: </span></b><span style='font-size:10.0pt;color:#212121'>Modulating neural activity through stimulation is an effective treatment for several neurological diseases, such as Parkinson’s disease and essential tremor, and is being explored for several other indications. Opportunities for improving modulation of neural activity include reducing the burden of optimizing stimulation parameters, objectively measuring efficacy over time, and continuously adjusting therapy to optimize patient outcomes. Achieving these goals is challenged by practical issues, including the paucity of human data related to disease states, poorly validated patient state estimators, and evolving nonlinear mappings between estimated patient state and optimal stimulation parameters. The application of brain-machine-interface (BMI) technology to existing stimulator architectures could help address these issues, and potentially enable smarter future “prosthesis” systems for neural circuits impacted by disease. <o:p></o:p></span></p></div><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'><br clear=all style='page-break-before:always'></span><div class=WordSection2><p class=Default><span style='font-size:10.0pt'><o:p> </o:p></span></p><p class=Default><span style='font-size:10.0pt'>A collaboration of: <o:p></o:p></span></p><p class=Default><span style='font-size:10.0pt'>Rice University </span><span style='font-size:10.0pt'><o:p></o:p></span></p><p class=Default><span style='font-size:10.0pt'>Baylor College of Medicine </span><span style='font-size:10.0pt'><o:p></o:p></span></p><p class=Default><span style='font-size:10.0pt'>University of Houston </span><span style='font-size:10.0pt'><o:p></o:p></span></p><p class=Default><span style='font-size:10.0pt'>University of Texas Health Science Center at Houston </span><span style='font-size:10.0pt'><o:p></o:p></span></p><p class=Default><span style='font-size:10.0pt'>University of Texas Medical Branch at Galveston </span><span style='font-size:10.0pt'><o:p></o:p></span></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>University of Texas MD Anderson Cancer Center</span><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'><o:p></o:p></span></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'><o:p> </o:p></span></p><div><p class=MsoNormal><span style='font-size:8.0pt;font-family:"Arial","sans-serif";color:#1F497D'><o:p> </o:p></span></p></div><p class=MsoNormal><span style='font-family:"Arial","sans-serif"'><o:p> </o:p></span></p></div></body></html>