Date  October 6, 2006 
Speaker  Martin Golubitsky (Boston University) 
Topic  Coupled Systems: Theory and Examples 
Abstract  A coupled cell system
is a collection of interacting dynamical systems.
Coupled cell models assume that the output from each
cell is important and that signals from two or more
cells can be compared so that patterns of synchrony
can emerge. We ask: How much of the qualitative
dynamics observed in coupled cells is the product of
network architecture and how much depends on the
specific equations?
The ideas will be illustrated through a series of examples and theorems. One example shows how a frequency filter / amplifier can be built from a small threecell feed forward network; and a second illustrates patterns of synchrony in lattice dynamical systems. One theorem gives necessary and sufficient conditions for synchrony in terms of network architecture; and a second shows that synchronous dynamics may itself be viewed as dynamics in a coupled cell system through a quotient construction.
