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DTSTAMP:20250724T093729Z
DESCRIPTION:\n	ISS Informal Systems Seminar\n\n\nSpeaker: Mireille E. Brouck
 e – Professor\, Department of Electrical and Computer Engineering\, Univer
 sity of Toronto\, Canada \n\n \n\n\n	\n\n	Presentation on YouTube.\n\n	Abstra
 ct: We explore the potential of using the internal model principle of cont
 rol theory to explain the cerebellum\, a major component of the brain. The
  cerebellum is involved in motor control\, motor learning\, posture and ba
 lance\, gait control\, eye movement\, language regulation\, emotion regula
 tion\, etc. It has been described as regulating and coordinating all movem
 ents of precision. Neuroscientists hypothesize that the cerebellum contain
 s forward or inverse models of the systems it regulates. Unfortunately\, c
 onclusive experimental proof that this hypothesis is correct has not been 
 forthcoming\, despite a 30 year effort. In this talk we describe an altern
 ative approach to modeling the cerebellum\, based on a hypothesis that its
  primary function is disturbance rejection. The key method in control theo
 ry that allow us to model the cerebellum is adaptive internal models. Evid
 ence of the efficacy of our approach is given in terms of the slow eye mov
 ement systems and visuomotor adaptation. We conclude the talk with implica
 tions for control theory.\n\n	\n	Biography: Mireille Broucke obtained the BS
  degree in Electrical Engineering from the University of Texas at Austin i
 n 1984 and the MSEE and PhD degrees from the University of California\, Be
 rkeley in 1987 and 2000\, respectively. She was a postdoc in Mechanical En
 gineering at University of California\, Berkeley during 2000-2001. She has
  six years of industry experience in control design for the automotive and
  aerospace industries. During 1993-1996 she was a program manager and rese
 archer at Partners for Advanced Transportation and Highways (PATH) at Univ
 ersity of California\, Berkeley. Since 2001 she has been at the University
  of Toronto where she is a professor in Electrical and Computer Engineerin
 g. Her current research interests are in the area of control theory applie
 d to neuroscience.\n\n
DTSTART:20221118T153000Z
DTEND:20221118T163000Z
LOCATION:CA\, ZOOM
SUMMARY:Adaptive Internal Models in Systems Neuroscience
URL:/cim/channels/event/adaptive-internal-models-syste
 ms-neuroscience-351654
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