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Advances in Artificial Neural Systems | Vol.2015, Issue. | 2017-05-30 | Pages

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

Sridhar Krishnamurti

Abstract

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.

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

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Keywords

processing taskrelated demands auditory eventrelated potentials p3aerp amplitude information neural network modeling tone burst stimuli competing noise

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Sridhar Krishnamurti,.Application of Neural Network Modeling to Identify Auditory Processing Disorders in School-Age Children. 2015 (),.

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