— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
—This paper describes a model of a hierarchical, heterogeneous knowledge-base. The proposed model consists of an associative level that is implemented by a Kanerva-like sparse di...
The Solaris 10 Operating System includes a number of new features for predictive self-healing. One such feature is the ability of the Fault Management software to diagnose memory ...
Dong Tang, Peter Carruthers, Zuheir Totari, Michae...
Since their conception half a century ago Hebbian cell assemblies have become a basic term in the Neurosciences, and the idea that learning takes place through synaptic modi catio...
Multiport memories are extensively used in modern system designs because of the performance advantages they offer. The increased memory access throughput could lead to significan...