title: Models of central pattern generators for quadruped locomotion. I. Primary gaits.
abstract: In this paper we continue the analysis of a network of symmetrically coupled cells modeling central pattern generators for quadruped locomotion proposed by Golubitsky, Stewart, Buono, and Collins. By a cell we mean a system of ordinary differential equations and by a coupled cell system we mean a network of identical cells with coupling terms. We have three main results in this paper. First, we show that the proposed network is the simplest one modeling the common quadruped gaits of walk, trot, and pace. In doing so we prove a general theorem classifying spatio-temporal symmetries of periodic solutions to equivariant systems of differential equations. We also specialize this theorem to coupled cell systems. Second, this paper focuses on primary gaits; that is, gaits that are modeled by output signals from the central pattern generator where each cell emits the same waveform along with exact phase shifts between cells. Our previous work showed that the network is capable of producing six primary gaits. Here, we show that under mild assumptions on the cells and the coupling of the network, primary gaits can be produced from Hopf bifurcation by varying only coupling strengths of the network. Third, we discuss the stability of primary gaits and exhibit these solutions by performing numerical simulations using the dimensionless Morris-Lecar equations for the cell dynamics.
authors.affiliation: Centre de Recherche Mathématique, Université de Montréal, C.P. 6128, Succursale Centre-Ville, Montréal, Qué., H3C 3J7, Canada. buono@crm.umontreal.ca
authors.forename: P L
authors.initials: PL
authors.lastname: Buono
authors.forename: M
authors.initials: M
authors.lastname: Golubitsky
mesh_terms: D000818:Animals; D001696:Biomechanical Phenomena; D003198:Computer Simulation; D005684:Gait / Q000502:physiology; D008124:Locomotion / Q000502:physiology*; D008432:Mathematical Computing; D008954:Models, Biological