Rapid Learning of Complex Sequences With Time Constraints: A Dynamic Neural Field Model

Many of our sequential activities require that behaviors must be both precisely timed and put in the proper order. This article presents a neurocomputational model based on the theoretical framework of dynamic neural fields that supports the rapid learning and flexible adaptation of coupled order–timing representations of sequential events. A key assumption is that elapsed time is encoded in the m...