Table of Contents
Advances in Artificial Neural Systems
Volume 2015, Article ID 635840, 13 pages
Research Article

Application of Neural Network Modeling to Identify Auditory Processing Disorders in School-Age Children

Auburn University, Auburn, AL 36849, USA

Received 29 August 2014; Revised 4 February 2015; Accepted 5 February 2015

Academic Editor: Paolo Gastaldo

Copyright © 2015 Sridhar Krishnamurti. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


P300 Auditory Event-Related Potentials (P3AERPs) were recorded in nine school-age children with auditory processing disorders and nine age- and gender-matched controls in response to tone burst stimuli presented at varying rates (1/second or 3/second) under varying levels of competing noise (0 dB, 40 dB, or 60 dB SPL). Neural network modeling results indicated that speed of information processing and task-related demands significantly influenced P3AERP latency in children with auditory processing disorders. Competing noise and rapid stimulus rates influenced P3AERP amplitude in both groups.