Abstract Walking, running and hopping are based on self-stabilizing oscillatory activity. In contrast, aiming movements serve to direct a limb to a desired location and demand a qu...
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
Abstract. In this paper, we present the project Urbi et Orbi, a framework to dynamically manage distributed virtual environments (DVEs). This framework relies on a dedicated script...
Abstract-- A kind of complex dynamical networks with timevarying coupling delays is proposed. By some transformation, the synchronization problem of the complex networks is transfe...
Abstract A lateral-inhibition type neural field model with restricted connections is presented here and represents an experimental extension of the Continuum Neural Field Theory (C...