THE DEVELOPMENT OF PROFILES FOR MONKEYS AN[) CHILDREN WITH ATTENTION DEFICIT DISORDER : A NEURAL NETWORK A P P R O A C H Ray R. Hashemi 1,3 , Michael S. Terry 1, Alexander A. Tyler 2, William Slikker 3, and Merle G. Paule 3 1Department of Computer and Information Science University of Arkansas at Little Rock Little Rock, AR 72201 rmhashemi@ualr.edu 2Department of Chemistry Hendrix College Conway, AR 71734, USA 3National Center for Toxicological Research Jefferson AR 72079-9502 Key Words: Self-Organizing Map, Attention Deficit Disorder, Signature, Profile, and Profile Relaxation. ABSTRACT As a part of an Operant Test Battery (OTB), a set of five behavioral tasks was given to a group of children at the Arkansas Children's Hospital (ACH) and a group of rhesus monkeys at the National Center for Toxicological Research (NCTR) [4]. Through a separate process, at ACH, the children had been diagnosed as Attention Deficit Disorder (ADD) , boarder line ADD, or healthy. Using the Self-Organizing Map neural network [1], the profiles of both healthy monkeys and children of varied ages with ADD were then generated and compared. The goal is to determine whether the animal model shares certain traits characteristics of ADD. INTRODUCTION
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The development of profiles for monkeys and children with attention deficit disorder: a neural network approach
Hashemi, Ray R.; Terry, Michael S.; Tyler, Alexander A.; Slikker, William; Paule, Merle G.
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, Volume 17 (3)
Association for Computing Machinery – Dec 1, 1997
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