Derek Harter and Robert Kozma
Aperiodic dynamics are known to be essential in the formation of perceptual mechanisms and representationsin biological organisms. Advances in neuroscienceand computational neurodynamics are helping us understand the properties of nonlinear systems that arefundamental in the self-organization of stable, complex patterns in many types of systems, from biological ecosystems to human economies and in biologicalbrains. In this paper we introduce a neurological population model that is capable of replicating the importantaperiodic dynamics observed in biological brains. Weuse the mechanism to self-organize cognitive maps inan autonomous agent.