Neural fields are an interesting option for modelling macroscopic parts of the cortex involving several populations of neurons, like cortical areas. Two classes of neural field equ...
Random Medium-Access-Control (MAC) algorithms have played an increasingly important role in the development of wired and wireless Local Area Networks (LANs) and yet the performanc...
Charles Bordenave, David McDonald, Alexandre Prout...
Replication and caching mechanisms are often employed to enhance the performance of Web applications. In this article, we present a qualitative and quantitative analysis of state-...
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
In this paper, we show that universal routing can be achieved with low overhead in distributed networks. The validity of our results rests on a new network called the fat-stack. W...