The Development of Profiles for Monkeys and Children with Attention Deficit Disorder: A Neural Network Approach

Ray R. Hashemi, Michael S. Terry, Alexander A. Tyler, William Slikker, Merle G. Paule

Research output: Contribution to journalArticlepeer-review

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.
Original languageAmerican English
JournalNewsletter of ACM SIGBIO
Volume17
StatePublished - Dec 1997

Keywords

  • ADD
  • Attention Deficit Disorder
  • Children
  • Development
  • Monkeys
  • Neural network approach
  • Profiles

DC Disciplines

  • Engineering
  • Computer Sciences

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