Abstract—The capacity of multiuser networks has been a longstanding problem in information theory. Recently, Avestimehr et al. have proposed a deterministic network model to appr...
MinJi Kim, Elona Erez, Edmund M. Yeh, Muriel M&eac...
A reduction method is used to analyze a spatially structured network model of inhibitory neurons. This network model displays wave propagation of postinhibitory rebound activity, w...
In this comments paper, we revisit the network model introduced in [1]. We discuss the inaccuracy of the model and, to correct the network model, we propose to apply directed capac...
Parallel computers have the computing power needed to simulate biologically accurate neuronal network models. Partitioning is the process of cutting a model in pieces and assignin...
In an adversarial queueing network, the incoming traffic is decided by an adversary, who operates under a reasonable rate restriction. This model provides a valuable, complementar...
We propose a natural generalisation of asynchronous bounded delay (ABD) network models. The commonly used ABD models assume a known bound on message delay. This assumption is ofte...
It is often difficult and time-consuming to manage computer `moves, adds, and changes' that take place in a switched, subnetted environment. It is even more difficult when th...
Christopher J. Tengi, James M. Roberts, Joseph R. ...
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
Internet service providers (ISPs) depend on one another to provide global network services. However, the profit-seeking nature of the ISPs leads to selfish behaviors that result i...
Richard T. B. Ma, Dah-Ming Chiu, John C. S. Lui, V...
This paper presents a method to reduce the complexity of a linear or linearized (small-signal) analog circuit. The reduction technique, based on quality-error ranking, can be used...
Walter Daems, Georges G. E. Gielen, Willy M. C. Sa...