title: Control of traveling-wave oscillations and bifurcation behavior in central pattern generators.
abstract: Understanding synchronous and traveling-wave oscillations, particularly as they relate to transitions between different types of behavior, is a central problem in modeling biological systems. Here, we address this problem in the context of central pattern generators (CPGs). We use contraction theory to establish the global stability of a traveling-wave or synchronous oscillation, determined by the type of coupling. This opens the door to better design of coupling architectures to create the desired type of stable oscillations. We then use coupling that is both amplitude and phase dependent to create either globally stable synchronous or traveling-wave solutions. Using the CPG motor neuron network of a leech as an example, we show that while both traveling and synchronous oscillations can be achieved by several types of coupling, the transition between different types of behavior is dictated by a specific coupling architecture. In particular, it is only the "repulsive" but not the commonly used phase or rotational coupling that can explain the transition to high-frequency synchronous oscillations that have been observed in the heartbeat pattern generator of a leech. This shows that the overall dynamics of a CPG can be highly sensitive to the type of coupling used, even for coupling architectures that are widely believed to produce the same qualitative behavior.
authors.affiliation: Physics Department, ETH Zurich, CH-8093 Zurich, Switzerland. landsmaa@phys.ethz.ch
authors.forename: Alexandra S
authors.initials: AS
authors.lastname: Landsman
authors.forename: Jean-Jacques
authors.initials: JJ
authors.lastname: Slotine
mesh_terms: D000465:Algorithms; D000818:Animals; D001703:Biophysics / Q000379:methods*; D003198:Computer Simulation; D004058:Diffusion; D007395:Interneurons / Q000502:physiology; D007798:Lampreys; D007865:Leeches; D008959:Models, Neurological; D015233:Models, Statistical; D009046:Motor Neurons / Q000502:physiology*; D009415:Nerve Net; D009991:Oscillometry / Q000379:methods; D010507:Periodicity; D014562:Caudata