A Neurorobotics Simulation of Autistic Behavior Induced by Unusual Sensory Precision
Recently, applying computational models developed in cognitive science to psychiatric disorders has been recognized as an essential approach for understanding cognitive mechanisms underlying psychiatric symptoms. Autism spectrum disorder is a neurodevelopmental disorder that is hypothesized to affec...
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Ubiquity Press
2018-12-01
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Series: | Computational Psychiatry |
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Online Access: | https://cpsyjournal.org/articles/44 |
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author | Hayato Idei Shingo Murata Yiwen Chen Yuichi Yamashita Jun Tani Tetsuya Ogata |
author_facet | Hayato Idei Shingo Murata Yiwen Chen Yuichi Yamashita Jun Tani Tetsuya Ogata |
author_sort | Hayato Idei |
collection | DOAJ |
description | Recently, applying computational models developed in cognitive science to psychiatric disorders has been recognized as an essential approach for understanding cognitive mechanisms underlying psychiatric symptoms. Autism spectrum disorder is a neurodevelopmental disorder that is hypothesized to affect information processes in the brain involving the estimation of sensory precision (uncertainty), but the mechanism by which observed symptoms are generated from such abnormalities has not been thoroughly investigated. Using a humanoid robot controlled by a neural network using a precision-weighted prediction error minimization mechanism, it is suggested that both increased and decreased sensory precision could induce the behavioral rigidity characterized by resistance to change that is characteristic of autistic behavior. Specifically, decreased sensory precision caused any error signals to be disregarded, leading to invariability of the robot’s intention, while increased sensory precision caused an excessive response to error signals, leading to fluctuations and subsequent fixation of intention. The results may provide a system-level explanation of mechanisms underlying different types of behavioral rigidity in autism spectrum and other psychiatric disorders. In addition, our findings suggest that symptoms caused by decreased and increased sensory precision could be distinguishable by examining the internal experience of patients and neural activity coding prediction error signals in the biological brain. |
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institution | Directory Open Access Journal |
issn | 2379-6227 |
language | English |
last_indexed | 2024-04-11T20:06:08Z |
publishDate | 2018-12-01 |
publisher | Ubiquity Press |
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series | Computational Psychiatry |
spelling | doaj.art-b567c96afa14436db0181405e72214f42022-12-22T04:05:20ZengUbiquity PressComputational Psychiatry2379-62272018-12-01216418210.1162/CPSY_a_0001942A Neurorobotics Simulation of Autistic Behavior Induced by Unusual Sensory PrecisionHayato Idei0Shingo Murata1Yiwen Chen2Yuichi Yamashita3Jun Tani4Tetsuya Ogata5Department of Intermedia Art and Science, Waseda University, TokyoDepartment of Modern Mechanical Engineering, Waseda University, TokyoDepartment of Modern Mechanical Engineering, Waseda University, TokyoDepartment of Functional Brain Research, National Center of Neurology and Psychiatry, TokyoCognitive Neurorobotics Research Unit, Okinawa Institute of Science and Technology (OIST), OkinawaDepartment of Intermedia Art and Science, Waseda University, TokyoRecently, applying computational models developed in cognitive science to psychiatric disorders has been recognized as an essential approach for understanding cognitive mechanisms underlying psychiatric symptoms. Autism spectrum disorder is a neurodevelopmental disorder that is hypothesized to affect information processes in the brain involving the estimation of sensory precision (uncertainty), but the mechanism by which observed symptoms are generated from such abnormalities has not been thoroughly investigated. Using a humanoid robot controlled by a neural network using a precision-weighted prediction error minimization mechanism, it is suggested that both increased and decreased sensory precision could induce the behavioral rigidity characterized by resistance to change that is characteristic of autistic behavior. Specifically, decreased sensory precision caused any error signals to be disregarded, leading to invariability of the robot’s intention, while increased sensory precision caused an excessive response to error signals, leading to fluctuations and subsequent fixation of intention. The results may provide a system-level explanation of mechanisms underlying different types of behavioral rigidity in autism spectrum and other psychiatric disorders. In addition, our findings suggest that symptoms caused by decreased and increased sensory precision could be distinguishable by examining the internal experience of patients and neural activity coding prediction error signals in the biological brain.https://cpsyjournal.org/articles/44autism spectrum disorderneuroroboticsrecurrent neural networkprediction error minimizationsensory uncertaintyonline adaptation |
spellingShingle | Hayato Idei Shingo Murata Yiwen Chen Yuichi Yamashita Jun Tani Tetsuya Ogata A Neurorobotics Simulation of Autistic Behavior Induced by Unusual Sensory Precision Computational Psychiatry autism spectrum disorder neurorobotics recurrent neural network prediction error minimization sensory uncertainty online adaptation |
title | A Neurorobotics Simulation of Autistic Behavior Induced by Unusual Sensory Precision |
title_full | A Neurorobotics Simulation of Autistic Behavior Induced by Unusual Sensory Precision |
title_fullStr | A Neurorobotics Simulation of Autistic Behavior Induced by Unusual Sensory Precision |
title_full_unstemmed | A Neurorobotics Simulation of Autistic Behavior Induced by Unusual Sensory Precision |
title_short | A Neurorobotics Simulation of Autistic Behavior Induced by Unusual Sensory Precision |
title_sort | neurorobotics simulation of autistic behavior induced by unusual sensory precision |
topic | autism spectrum disorder neurorobotics recurrent neural network prediction error minimization sensory uncertainty online adaptation |
url | https://cpsyjournal.org/articles/44 |
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