Optimal feedback control framework suggests that changes in the preferred direction during BMI experiments may occur even with no adaptation

Miri Benyamini, Miriam Zacksenhouse

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

Brain Machine Interfaces (BMIs) rely on the correlation between neural activity and movement kinematics. However, many characteristics of the neural activity change after switching from pole control to brain control. Of particular interest are changes in the preferred direction (PD), and whether they reflect adaptation to the BMI filter. Here we investigate changes in the PD of simulated neurons that encode signals that are relevant for state estimation and control with the framework of optimal feedback control (OFC). Simulated BMI experiments based on the OFC framework demonstrate that changes in the PD may occur even with no adaptation. Further theoretical and simulations indicate the conditions under which there is no change in the PD upon switching to brain control Insights gained from this research can be used to improve the design of BMI filter - not only to minimize reconstruction error during pole control, but also to endow the neurons with desired PDs in brain control.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيف2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
الصفحات3876-3881
عدد الصفحات6
رقم المعيار الدولي للكتب (الإلكتروني)9781509018970
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 6 فبراير 2017
الحدث2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Budapest, هنغاريا
المدة: ٩ أكتوبر ٢٠١٦١٢ أكتوبر ٢٠١٦

سلسلة المنشورات

الاسم2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings

!!Conference

!!Conference2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
الدولة/الإقليمهنغاريا
المدينةBudapest
المدة٩/١٠/١٦١٢/١٠/١٦

All Science Journal Classification (ASJC) codes

  • !!Artificial Intelligence
  • !!Control and Optimization
  • !!Human-Computer Interaction
  • !!Computer Vision and Pattern Recognition

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