— In this paper we have suggested a sparse three dimensional array model for the brain. Entries of the array are synaptic weights as functions of time. This is a typical four dim...
: It has always been assumed that fault models in memories are sufficiently precise for specifying the faulty behavior. This means that, given a fault model, it should be possible...
Evolving Takagi Sugeno (eTS) models are optimised for use in applications with high sampling rates. This mode of use produces excellent prediction results very quickly and with lo...
Intense research on virtual machines has highlighted the need for flexible software architectures that allow quick evaluation of new design and implementation techniques. The inte...
Attractor network models of cortical associative memory functions have developed considerably over the past few years. Here we show that we can improve them further, in terms of c...