Memristor-based ternary content-addressable memory (TCAM) has emerged as an alternative to conventional static random-access (SRAM)-based TCAM because of its high-density integration and zero-static energy consumption. Herein, 0T2R operation on a 32 × passive memristor crossbar circuit is experimentally verified. The effective margin, which the difference between match case 1-bit mismatch case,...

This paper presents a scalable FPGA/ASIC implementation architecture for high-speed parallel table-lookup-coding using multiported content addressable memory, aiming at facilitating effective tablelookup-coding solutions. The multi-ported CAM adopts a Flexible Multiported Content Addressable Memory (FMCAM) technology, which represents an effective parallel processing architecture and was previo...

Content-centric networking (CCN) is an innovative network architecture that is being considered as a successor to the Internet. In recent years, CCN has received increasing attention from all over the world because its novel technologies (e.g., caching, multicast, aggregating requests) and communication based on names that act as addresses for content have the potential to resolve various probl...

An essential part of image analysis is the location and identiication of objects within the image. Noise and clutter make this identiication problematic, and the size of the image may present computational diiculties. To overcome these problems , a window onto the image is used to focus onto small areas. Conventionally, it is still necessary to know the size of the object to be searched for in ...

SbO state 0 X (don’t care 0 1 0 (zero) 1 0 1 (one) 1 not allowed Abstract A novel ternary dynamic content addressable memory cell with coupled match lines is presented here. The dynamic C A M cell contains only four n-type transistors. This cell is capable of storing and matching three states, hence the term ternary; these states are: zero (0), one (1) and don”t care (X) . Circuit simulations s...

The high capacity associative memory model is interesting due to its significantly higher capacity when compared with the standard Hopfield model. These networks can use either bipolar or binary patterns, which may also be biased. This paper investigates the performance of a high capacity associative memory model trained with biased patterns, using either bipolar or binary representations. Our ...

Hebbian hetero-associative learning is inherently asymmetric. Storing a forward association from pattern A to pattern B enables the recalling of pattern B given pattern A. This, in general, does not allow the recalling of pattern A given pattern B. The forward association between A and B will tend to be stronger than the backward association between B and A. In this paper it is described how th...

Using synthetic faces that varied along four perceptual dimensions (Wilson, Loffler, & Wilkinson, 2002), we examined the effects of face similarity on memory for face-name associations. The nature of these stimuli allowed us to go beyond the categorical similarity manipulations used in previous verbal associative memory studies to trace out the parametric relation between similarity and various...