Objective: Two-alternative forced-choice tasks are widely used to gain insight into specific areas of enhancement or impairment in individuals with autism spectrum disorder (ASD). Data arising from these tasks have been used to support myriad theories regarding the integrity, or otherwise, of particular brain areas or cognitive processes in ASD. The drift diffusion model (DDM) provides an account of the underlying processes which give rise to accuracy and reaction time (RT) distributions, and parameterizes these processes in terms which have direct psychological interpretation. Importantly, the DDM provides further insight into the origin of potential group differences in task performance. Here, for the first time, we used the DDM to investigate perceptual decision making in ASD.

Method: Adults with (N = 25) and without ASD (N = 32) performed an orientation discrimination task. A drift diffusion model was applied to the full RT distributions.

Results: Participants with ASD responded more slowly than controls, the groups did not differ in accuracy. Modeled parameters indicated that: (a) participants with ASD were more cautious than controls (wider boundary separation); (b) nondecision time was increased in ASD; and (c) the quality of evidence extracted from the stimulus (drift rate) did not vary between groups.

Conclusions: Taking the behavioral data in isolation would suggest reduced perceptual sensitivity in ASD. However, DDM results indicated that despite response slowing, there was no evidence of differential perceptual sensitivity between participants with and without ASD. Future use of the DDM in investigations of perception and cognition in ASD is highly recommended. (PsycINFO Database Record

Download full-text PDF

Source
http://dx.doi.org/10.1037/neu0000320DOI Listing

Publication Analysis

Top Keywords

drift diffusion
12
diffusion model
12
participants asd
12
asd
9
autism spectrum
8
spectrum disorder
8
perceptual sensitivity
8
ddm
5
understanding perceptual
4
perceptual judgment
4

Similar Publications

Hydrogen, a sustainable and environmentally friendly fuel, can be obtained through the ethanol steam reforming (ESR) process. The most promising catalysts for this process are those based on non-noble metals such as cobalt. The activity, selectivity, and stability of these catalysts strongly depend on the presence of alkali dopants.

View Article and Find Full Text PDF

Recent evidence highlights that monetary rewards can increase the precision at which healthy human volunteers can detect small changes in the intensity of thermal noxious stimuli, contradicting the idea that rewards exert a broad inhibiting influence on pain perception. This effect was stronger with contingent rewards compared with noncontingent rewards, suggesting a successful learning process. In the present study, we implemented a model comparison approach that aimed to improve our understanding of the mechanisms that underlie thermal noxious discrimination in humans.

View Article and Find Full Text PDF

Memristor-based feature learning for pattern classification.

Nat Commun

January 2025

Frontier Institute of Chip and System, Fudan University, Shanghai, 200433, China.

Inspired by biological processes, feature learning techniques, such as deep learning, have achieved great success in various fields. However, since biological organs may operate differently from semiconductor devices, deep models usually require dedicated hardware and are computation-complex. High energy consumption has made deep model growth unsustainable.

View Article and Find Full Text PDF

Cognitive and neural underpinnings of friend-prioritization in a perceptual matching task.

Soc Cogn Affect Neurosci

January 2025

School of Psychological and Cognitive Sciences, PKU-IDG/McGovern Institute for Brain Research, Peking University, 52 Haidian Road, Beijing 100080, China.

Previous findings of better behavioral responses to self- over other-related stimuli suggest prioritized cognitive processes of self-related information. However, it is unclear whether the processing of information related to important others (e.g.

View Article and Find Full Text PDF

Enhancing the CO Oxidation Performance of Copper by Alloying with Immiscible Tantalum.

ACS Appl Mater Interfaces

January 2025

School of Materials and Energy, Lanzhou University, Lanzhou 730000, China.

Copper-tantalum (Cu-Ta) immiscible alloy nanoparticles (NPs) have been the subject of extensive research in the field of structural materials, due to their exceptional nanostructural stability and high-temperature creep properties. However, Cu is also a highly active oxidation catalyst due to its abundant valence changes. In this study, we have for the first time obtained homogeneous CuTa ( = 0.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!