—This paper presents an Erlang reduced load model to analyze Optical Burst Switched Grid networks. The model allows the evaluation of job blocking probabilities, in which blockin...
Marc De Leenheer, Chris Develder, Filip De Turck, ...
This paper presents results from lesion experiments on a modular attractor neural network model of semantic access. Real picture data forms the basis of perceptual input to the mod...
William Power, Ray J. Frank, D. John Done, Neil Da...
Due to the various and dynamic nature of stimuli, decisions of intelligent agents must rely on the coordination of complex cognitive systems. This paper precisely focusses on a gen...
—This paper presents a new economic approach for studying competition and innovation in a complex and highly interactive system of network providers, users, and suppliers of digi...
Zhi-Li Zhang, Papak Nabipay, Andrew M. Odlyzko, Ro...
We propose a digital neuron model suitable for evolving and growing heterogeneous spiking neural networks on FPGAs using a piecewise linear approximation of the Quadratic Integrate...
Hooman Shayani, Peter J. Bentley, Andrew M. Tyrrel...