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Computation in a reduced KII network based on synchronization
Author(s) -
Xu Dongming,
Principe José C.
Publication year - 2006
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.20169
Subject(s) - computer science , computation , synchronization (alternating current) , set (abstract data type) , state (computer science) , content addressable memory , state space , theoretical computer science , algorithm , artificial intelligence , artificial neural network , mathematics , statistics , programming language , computer network , channel (broadcasting)
When implementing dynamical systems for information processing, a well‐defined set of computational primitives should be constructed to represent the state space. Based on the specific collective behavior of Freeman's computational model of the olfactory cortex, we study the computation of reduced KII networks by using the synchronization of output channels. The design of coupling coefficients in the network for obtaining a desired output state response is presented. We demonstrate the computational power of reduced KII networks by two applications that address logic computation and associative memory, respectively. © 2006 Wiley Periodicals, Inc. Int J Int Syst 21: 919–935, 2006.