We apply evolutionary algorithms to Hop eld model of associative memory. Previously we reported that a genetic algorithm using ternary chromosomes evolves the Hebb-rule associative memory to enhance its storage capacity by pruning some connections. This paper describes a genetic algorithm using real-encoded chromosomes which successfully evolves over-loaded Hebbian synaptic weights to function ...

Memory-Built In Self-Test (MBIST) is an very effectual and output enrichment for embedded RAMs. This paper presents effectual MBIST concepts of Built-In-Self Test (BIST) using Performance Accelerator Algorithm (PAA). This BIST concept very stretchable for embedded RAMs with suitable operation. PA algorithm efficiently detects probable number of fault models compare to other March test algorithm...

This paper presents a new left-looking parallel sparse Cholesky fac,torization algorithm for shared-memory MIMD multiprocessors. The algorithm is particularly well-suited for vector supercomputers with multiple processors, such as the Cray Y-MP. The new algorithm uses supernodes in the Cholesky factor to improve performance by reducing indirect addressing and memory traffic. Earlier factorizati...

objective: working memory is the ability of maintaining and manipulating the required information for operating generalization in future. the aim of the present research is to investigate the effectiveness of neurofeedback therapy on the working memory in children with adhd.  methods: 24 children with adhd who had the required standards to participate in the study were selected by accessible sa...

Background: Chess is a game that involves many aspects of high level cognition such as memory, attention, focus and problem solving. Long term practice of chess can improve cognition performances and behavioral skills. Auditory memory, as a kind of memory, can be influenced by strengthening processes following long term chess playing like other behavioral skills because of common processing pat...