ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 3P2-P05
会議情報
3P2-P05 自閉症スペクトラム障害における部分的情報処理バイアスの計算論的モデル(脳・神経・認知ロボティクス)
森脇 嵩量長井 志江浅田 稔
著者情報
会議録・要旨集 フリー

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抄録
It is known that people with Autism Spectrum Disorders (ASD) have a bias for local information processing, whereas normally developing people exhibit a global bias. This study examines its underlying mechanism inspired by an evidence from neuroscience studies. Our hypothesis is that an imbalance between excitation and inhibition neurons modifies a threshold for neural activities and thus changes a bias for local or global information. We employed a hierarchical neural network called neocognitron to examine the influence of the excitation/inhibition balance on the recognition of hierarchical compound letters (i.e., a global/large letter consisting of local/small letters). Our experiments demonstrated that hyper inhibitory connections made the network recognize a local letter better than a global letter, whereas a proper excitation/inhibition balance produced an opposite result. This empirically supports our hypothesis that the excitation/inhibition imbalance is a cause of a local processing bias in ASD.
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© 2014 一般社団法人 日本機械学会
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