This paper investigates a mechanism for reliable generation of sparse code in a sparsely connected, hierarchical, learning memory. Activity reduction is accomplished with local com...
Activator-inhibitor models have been widely used to explain several morphogenetic processes. They have also been used to engineer algorithms for computer graphics, distributed syst...
We present a computational framework to automatically discover high-order temporal social patterns from very noisy and sparse location data. We introduce the concept of social foo...
This paper demonstrates a biologically- and psychologicallyinspired human-like computational memory focusing on the retrieval mechanisms – Spreading Activation and Compound Cue ...
A trace of a workload’s system calls can be obtained with minimal interference, and can be used to drive repeatable experiments to evaluate system configuration alternatives. R...