Numerical Investigation Of A Central Pattern Generator Network - 2009

Dynamical systems theory can help in understanding biological nervous systems and in designing artificial ones. Dynamical systems theory deals with the long-term qualitative behavior of dynamical systems. Its the focus is not necessarily on finding precise solutions, but rather on analyzing what types of behaviors a dynamical system will produce based on a set of parameters. A central pattern generator (CPG) is one of the simplest examples of a neural circuit that is useful in and of itself and can be studied in isolation. The goal of this paper is to examine a single isolated central pattern generator model based on that of a lamprey originally investigated by James Buchanan  and analyze what range range of parameters produce what kinds of behavior.

Numerical Investigation Of A Central Pattern Generator Network