Associative recall and completion of information is one of the astonishing abilities of intelligent living beings. The search for mechanisms which produce this ability of associative memory yielded a class of computational systems composed of many neuron-like, non-linear units. The neural units are connected to artiicial neural networks. The basic principle of associative information recall is ...

High-level judgement and decision-making tasks display dynamic bidirectional relationships in which salient cues determine how responses are evaluated by decision-makers, and these responses in turn determine the cues that are considered. In this paper, we propose Kosko’s bidirectional associative memory (BAM) network, a minimal two-layer recurrent neural network, as a mathematically tractable ...

The human brain is far superior to a modern computer in its ability to do associative recall. Many theorists believe that one of the important functions of primate neocortex is "associative memory". Palm’s network [1] is one of the most powerful associative memory models available. To study variations of this basic model, we have built a multiprocessor based Palm simulator that executes on our ...

The paper gives a simple algorithm that allows us to eliminate correlation between input binary patterns by changing their dimensionality. A neural network that is a variant of vector associative memory is used to recognize redimensioned patterns. Having capacity much greater than conventional neural networks, the resulting associative memory can recognize highly noisy and correlated input patt...

We propose to present a novel syntactic pattern matching technique [1] that combines the correlative learning and generalisation properties of associative memories, with the parallel and distributed operation of cellular automata [2]. The tool is used for recognizing two dimensional objects in images. Each section of the object to be studied is represented by a cell, initially containing a low ...

This paper describes current research on neural networks within the collaborative project "Vision by Associative Reasoning" 1. The major aim of the work is the matching of vector descriptions of maps to airbourne IR imagery. The primary application of the work is in the guidance of airbourne vehicles. The paper describes how neural networks are being used to identify urban and field areas and f...