A distributed associative memory system which is ideal for scene analysis is described. Recall of associated patterns using incomplete originals is made possible by the use of a distributed storage mechanism and a novel recall procedure. The memory is shown to store associations between patterns more efficiently than a conventional file store. The paper describes the memory structure, the recal...

Valuable items are often remembered better than items that are less valuable by both older and younger adults, but older adults typically show deficits in binding. Here, we examine whether value affects the quality of recognition memory and the binding of incidental details to valuable items. In Experiment 1, participants learned English words each associated with a point-value they earned for ...

The goal of this paper is to show how to modify associative memory such that it can discriminate several stored patterns in a composite input and represent them simultaneously. Segmention of patterns takes place in the temporal domain, components of one pattern becoming temporally correlated with each other and anticorrelated with the components of all other patterns. Correlations are created n...

Sparse matrix multiplication is an important component of linear algebra computations. In this paper, an architecture based on Content Addressable Memory (CAM) and Resistive Content Addressable Memory (ReCAM) is proposed for accelerating sparse matrix by sparse vector and matrix multiplication in CSR format. Using functional simulation, we show that the proposed ReCAM-based accelerator exhibits...

Abstract This paper proposes a design of gate all around CNTFET based ternary content addressable memory (TCAM). TCAM cell is designed and simulated in HSPICE using top gated (TG-CNTFET) & CNTTFET (GAA-CNTFET). Dual chirality technique used to i.e. different for n-type p-type which utilizes threshold voltages hence improve the performance. Comparative analysis has been done various paramete...

This study examines the performance of sparsely-connected associative memory models built using a number of different connection strategies, applied to oneand two-dimensional topologies. Efficient patterns of connectivity are identified which yield high performance at relatively low wiring costs in both topologies. It is found that two-dimensional models are more tolerant of variations in conne...

A Complex-valued Associative Memory (CAM) stores not only training patterns but also their rotated patterns. They reduce noise robustness. In this paper, we introduce strong thresholds to the neurons. Thresholds relieve storing rotated patterns and improve noise robustness. If thresholds are simply used, their effect is absorbed in quantification of complex-valued neurons. So we use strong thre...

The traffic in urban areas is mainly regularized by traffic lights, which may contribute to the unnecessary long waiting times for vehicles if not efficiently configured. This inefficient configuration is unfortunately still the case in a lot of urban areas, where most of the traffic lights are based on a 'fixed cycle' protocol. To improve the traffic light configuration, this paper proposed mo...

Faster turnaround time of the vessels in berths has direct impact on the improvement of terminals productivity. The need for an intelligent system that dynamically adapts to the changing environment is apparent, as there is limited number of berths and resources available in container terminals for delivering services to vessels. BDI (Beliefs, Desires and Intentions) agents are being proposed i...