We introduce a neural network with associative memory and a continuous topology, i.e. its processing units are elements of a continuous metric space and the state space is Euclide...
Discovery of semantic associations in Semantic Web ontologies is an important task in various analytical activities. Several query languages and storage systems have been designed ...
Abstract. This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuro...
Analog techniques can lead to ultra-efficient computational systems when applied to the right applications. The problem of associative memory is well suited to array-based analog ...
Alan Kramer, Roberto Canegallo, Mauro Chinosi, D. ...
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...