By Topic

A model of human associative processor (HASP)

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Hirai, Y. ; Inst. of Information Sci. & Electronics, Univ. of Tsukuba, Ibaraki, Japan

A model of an associative processor names HASP is proposed and described. The objective is to represent associative brain functions in terms of neural network structure. HASP is described with emphasis on its associative memory functions. HASP solved two critical problems which resided in earlier associative memory models: crosstalk noise elimination and multiple-match resolution. HASP eliminates crosstalk noise without complicated orthogonalizing methods. Both problems are solved by the same network structure. With the function of crosstalk noise elimination, the storage capacity increases, and an explosion of crosstalk noise, inevitable in a system such as mutually linked associative networks, can be avoided. With the function of multiple-match resolution, various operations of retrieving information from a memory organized in complicated data structures are possible.

Published in:

Systems, Man and Cybernetics, IEEE Transactions on  (Volume:SMC-13 ,  Issue: 5 )