We examine the robustness of critical infrastructure networks in the face of terrorist attack, using a simulation experiment that incorporates link capacity; and an extension of d...
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
In this paper, we characterize the joint network capacity region for a licensed broadcast (primary) and ad hoc cognitive (secondary) network in a heterogeneous environment, includ...
In this paper, we describe and evaluate a scalable network of Active Elements (AE) that implements userempowered virtual-multicast overlay network for synchronous data distributio...