BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:DLN Spatial self-motion estimation for motor control in the cerebe
 llum\, Prof. Andrea Green
DTSTART:20210316T160000
DTEND:20210316T170000
DTSTAMP:20260508T053420Z
UID:4ee8338187f0fca4aad8b44c49423403f3ffa08a0fab1704d4054922
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof Andrea Green\nABSTRACT\nWhether running to catch a ball o
 r turning to reach for a coffee cup\, in our daily lives we are constantly
  in motion\, interacting with objects in the environment. Experiments unde
 r simplified laboratory conditions\, in which body movements are limited\,
  have provided essential insights into how we plan and control voluntary m
 otor actions (e.g.\, reaching). However\, it remains to be established how
  such insights generalize to the more complex real-life problem of plannin
 g and coordinating our actions as we move through space. How do we integra
 te multisensory cues (e.g.\, vestibular\, visual\, proprioceptive) to comp
 ute the types of self-motion estimates that are relevant for different tas
 ks? What are the mechanisms by which we use such estimates in the online c
 ontrol of motor behavior? In this talk\, I will discuss the role of a dist
 ributed brainstem-cerebellar circuit in computing the types of self-motion
  estimates essential for activities such as postural control and voluntary
  reaching. I will also describe the results of recent studies investigatin
 g how vestibular estimates of the body’s motion contribute to voluntary 
 reaching and what the implications might be for understanding how we integ
 rate sensory feedback to control voluntary movement.\n\nBIO\nAndrea Green 
 is a professor in the Department of Neuroscience at the University of Mont
 real. She was originally trained as electrical engineer\, but after becomi
 ng interested in neural prosthetics applications she soon concluded that t
 he most interesting circuits and control systems are real physiological on
 es. She therefore decided to pursue graduate studies in biomedical enginee
 ring with Henrietta Galiana at McGill University\, working on computationa
 l modelling of the neural networks involved in visual and vestibular contr
 ol of gaze. She continued her training in experimental neuroscience testin
 g some of the computational predictions from her PhD work in the laborator
 y of Dora Angelaki. There she combined computational modeling work with ne
 urophysiological recordings in alert behaving primates to explore how self
 -motion estimates are computed within brainstem-cerebellar circuits. This 
 work led to her interest in how self-motion estimates are used to coordina
 te our voluntary actions while the body is moving\, and motivated her to g
 ain experience in the cortical control of reaching with John Kalaska. She 
 subsequently established her own lab at the University of Montreal\, where
  she investigates both how multisensory signals are combined to compute di
 fferent types of spatial motion estimates and how we use these estimates t
 o plan and coordinate our motor behaviors as we move around in space.\n\n
  
LOCATION:https://epfl.zoom.us/j/84684280826?pwd=OThpZEVucWdISmVTZmFLdmtGen
 lGdz09
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR