3P2-P05 A Computational Model for Local Processing Bias in Autism Spectrum Disorders(Neurorobotics & Cognitive Robotics)

2014 ◽  
Vol 2014 (0) ◽  
pp. _3P2-P05_1-_3P2-P05_4
Author(s):  
Takakazu MORIWAKI ◽  
Yukie NAGAI ◽  
Minoru ASADA
2012 ◽  
Vol 29 (7-8) ◽  
pp. 584-600 ◽  
Author(s):  
Mila Vulchanova ◽  
Joel B. Talcott ◽  
Valentin Vulchanov ◽  
Margarita Stankova ◽  
Hendrik Eshuis

2018 ◽  
Vol 4 (1) ◽  
pp. 262-279
Author(s):  
Penny Spikins ◽  
Callum Scott ◽  
Barry Wright

AbstractTraits in Upper Palaeolithic art which are also seen in the work of talented artists with autism, including most obviously an exceptional realism, remain to be explained. However any association between the famously evocative animal depictions created in the European Upper Palaeolithic and what is commonly seen as a ‘disorder’ has always been contentious. Debate over these similarities has been heated, with explanations ranging from famous works of Upper Palaeolithic art having been created by individuals with autism spectrum conditions, to being influenced by such individuals, to being a product of the use of psychotropic drugs. Here we argue that ‘autistic traits’ in art, such as extreme realism, have been created by individuals with a cognitive extreme of local processing bias, or detail focus. The significance of local processing bias, which is found both as a feature of autism spectrum conditions and in artists with exceptional talent at realistic depiction who aren’t autistic, has implications for our understanding of Upper Palaeolithic society in general, as well as of the roles played by individuals with autism spectrum conditions.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Dariusz Zapała ◽  
Dariusz Mikołajewski

Abstract Objectives Autism Spectrum Disorders (ASD) represent developmental conditions with deficits in the cognitive, motor, communication and social domains. It is thought that imitative behaviour may be impaired in children with ASD. The Mirror Neural System (MNS) concept plays an important role in theories explaining the link between action perception, imitation and social decision-making in ASD. Methods In this study, Emergent 7.0.1 software was used to build a computational model of the phenomenon of MNS influence on motion imitation. Seven point populations of Hodgkin–Huxley artificial neurons were used to create a simplified model. Results The model shows pathologically altered processing in the neural network, which may reflect processes observed in ASD due to reduced stimulus attenuation. The model is considered preliminary—further research should test for a minimally significant difference between the states: normal processing and pathological processing. Conclusions The study shows that even a simple computational model can provide insight into the mechanisms underlying the phenomena observed in experimental studies, including in children with ASD.


2010 ◽  
Vol 20 (2) ◽  
pp. 42-50 ◽  
Author(s):  
Laura W. Plexico ◽  
Julie E. Cleary ◽  
Ashlynn McAlpine ◽  
Allison M. Plumb

This descriptive study evaluates the speech disfluencies of 8 verbal children between 3 and 5 years of age with autism spectrum disorders (ASD). Speech samples were collected for each child during standardized interactions. Percentage and types of disfluencies observed during speech samples are discussed. Although they did not have a clinical diagnosis of stuttering, all of the young children with ASD in this study produced disfluencies. In addition to stuttering-like disfluencies and other typical disfluencies, the children with ASD also produced atypical disfluencies, which usually are not observed in children with typically developing speech or developmental stuttering. (Yairi & Ambrose, 2005).


2012 ◽  
Vol 17 (2) ◽  
pp. 69-75 ◽  
Author(s):  
Pamela A. Smith

In this article, I will review the available recent literature about the aging population with autism, a patient group that researchers know little about and a group that is experiencing a growing need for support from communication disorders professionals. Speech-language pathologists working with geriatric patients should become familiar with this issue, as the numbers of older patients with autism spectrum disorders is likely to increase. Our profession and our health care system must prepare to meet the challenge these patients and residents will present as they age.


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