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SUMMARY:Anastasia Bizyaeva (Cornell University)
DTSTART:20261103T170000Z
DTEND:20261103T180000Z
DTSTAMP:20261109T050830Z
UID:Modeling_and_Computation/95
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/Modeling_and
 _Computation/95/">Dynamical Systems Theory of Embodied Perceptual Decision
 -Making</a>\nby Anastasia Bizyaeva (Cornell University) as part of Northwe
 stern Applied Mathematics Seminar\n\nLecture held in M416 Tech Northwester
 n Evanston IL.\n\nAbstract\nDecision-making is a fundamental building bloc
 k of behavior\, both in natural settings such as animal movement and in en
 gineered settings such as autonomous robotics. In both of these contexts\,
  decisions are often made on the move through an interplay of continuously
  changing sensory information and goal-oriented action selection. In this 
 talk\, we present a dynamical systems framework for understanding how disc
 rete choices emerge through feedback between neural activity and movement 
 through space. Starting from a stochastic ring-attractor model motivated b
 y biological neural circuits involved in perceptual evidence integration\,
  we will show how reduced representations such as competing neural accumul
 ators and local drift-diffusion descriptions of choice arise at different 
 scales of the same process. Bifurcation analysis of the reduced decision d
 ynamics then reveals how movement reshapes competition among alternatives\
 , and how asymmetries in target geometry and quality bias transitions from
  compromise to commitment captured through movement. These results link ca
 nonical models of perceptual choice and reveal how environmental geometry 
 shapes embodied decisions. We will illustrate how insights from this biolo
 gically inspired modeling and analysis translate to novel design principle
 s for autonomous behavior in mobile robots.\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/95/
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