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From Observed Motor Behavior to Computational Models

Wednesday, January 22nd, 2020, 16:10

Checkpoint 480

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From Observed Motor Behavior to Computational Models: Human Motion Planning, Compositionality and Timing

Tamar Flash, Weizmann

Abstract:

Behavioral and computational studies have focused on identifying the spatial and temporal characteristics of various movements ranging from simple reaching to
to complex 2D and 3D motions. Such features were quite instrumental in investigating the organizing principles that underlie trajectory formation by the brain.  Similar kinematic principles also play a critical role in visual perception of motion and in action recognition. In my talk I will present a new theory of trajectory formation, which is inspired by invariance theory. The theory proposes that movement time, kinematics, and compositionality arise from the mixture of Euclidian and several Non-Euclidian geometries.  Mathematically expressing these ideas, a computational scheme was used in modeling 2D and 3D hand and locomotion trajectories and accounting for motion singularities. I will also present motion planning models that combine geometric and optimization approaches to motion segmentation and discuss several behavioral and brain imaging studies supporting the mixture of geometries model and the similarities between motion perception and production. Finally I will discuss motor timing of human movements- what principles and models account for the selection of both global durations and durations of individual movement segments within complex actions. I will conclude by discussing  the implications of the above studies for  human-robot interaction and biorobotics. 
 
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