November 12, 2014
4:10 pm
-
5:10 pm
CH 218
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2014-11-12 17:10:00
2014-11-12 18:10:00
Patterns of Phase-Shift Synchrony: From Animal Gaits to Binocular Rivalry
Speaker: Martin Golubitsky (OSU)Abstract: These talks will discuss previous work on quadrupedal gaits and recent work on a model for binocular rivalry proposed by Hugh Wilson. Both applications show how rigid phase-shift synchrony in periodic solutions of coupled systems of differential equations can help understand high level collective behavior in the nervous system. For gaits the symmetries predict unexpected gaits and for binocular rivalry the symmetries predict unexpected percepts. Some of the basic principles of equivariant dynamical systems will be presented.Note: Pre-candidacy students can sign up for this lecture series by registering for one or two credit hours of Math 6193, Call/Class # 20913 (with Prof H. Moscovici).
CH 218
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Date Range
2014-11-12 16:10:00
2014-11-12 17:10:00
Patterns of Phase-Shift Synchrony: From Animal Gaits to Binocular Rivalry
Speaker: Martin Golubitsky (OSU)Abstract: These talks will discuss previous work on quadrupedal gaits and recent work on a model for binocular rivalry proposed by Hugh Wilson. Both applications show how rigid phase-shift synchrony in periodic solutions of coupled systems of differential equations can help understand high level collective behavior in the nervous system. For gaits the symmetries predict unexpected gaits and for binocular rivalry the symmetries predict unexpected percepts. Some of the basic principles of equivariant dynamical systems will be presented.Note: Pre-candidacy students can sign up for this lecture series by registering for one or two credit hours of Math 6193, Call/Class # 20913 (with Prof H. Moscovici).
CH 218
America/New_York
public
Speaker: Martin Golubitsky (OSU)
Abstract: These talks will discuss previous work on quadrupedal gaits and recent work on a model for binocular rivalry proposed by Hugh Wilson. Both applications show how rigid phase-shift synchrony in periodic solutions of coupled systems of differential equations can help understand high level collective behavior in the nervous system. For gaits the symmetries predict unexpected gaits and for binocular rivalry the symmetries predict unexpected percepts. Some of the basic principles of equivariant dynamical systems will be presented.
Note: Pre-candidacy students can sign up for this lecture series by registering for one or two credit hours of Math 6193, Call/Class # 20913 (with Prof H. Moscovici).
