Objective: Investigated the effect of presentation duration of masked visual stimuli and presentation mode (randomized, blocked) on error-related negativity (ERN) and error positivity (Pe).
Method: In two experiments, participants responded with the left and right hand to leftward and rightward arrows presented for different durations (0-117 ms). Different stimulus durations were fully randomized in Experiment 1 but run in separate blocks in Experiment 2.
Results: In both experiments, percent correct and Pe amplitude increased with increasing stimulus duration. By contrast, ERN was only found for (blocked) longer stimulus durations of Experiment 2, and absent with the randomized stimulus durations of Experiment 1.
Conclusions: Presence of a Pe in the absence of ERN in Experiment 1 suggests that conscious error processing can occur without prior unconscious error detection. To explain the pattern of ERN/Pe effects, two separate processes of error detection are suggested, operating independently at the levels of object-based (Pe) and purely perceptual stimulus representations (ERN), respectively.
Significance: A novel model of error processing is developed, elaborating on the reinforcement-learning theory of ERN. It is suggested that giving a response retrieves appropriate stimulus representations whose activation typically precedes this response; in case of mismatch with actually present stimuli, ERN is elicited.
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http://dx.doi.org/10.1016/j.clinph.2010.06.031 | DOI Listing |
Asian Pac J Cancer Prev
January 2025
Center Incharge, Sultan Qaboos Comprehensive Cancer Care and Research Centre (SQCCCRC), University Medical City, Muscat, Oman.
Purpose: This project aimed to minimize medication errors and improve safe medication administration in an oncology setting in Muscat, Oman.
Methods: The study, spanning from the second quarter of 2022 to the first quarter of 2023, employed a one-group pretest-posttest quasi-experimental design, assessing key performance indicators (medication error and medication administration errors rates per 1000 patient days) on quarterly basis before and after implementing targeted interventions. Interventions focused on medication management processes and Healthcare Informatics System (HIS), Environment and equipment, and Education The project utilized the FOCUS PDCA (find, organize, clarify, understand, select, plan, do, check and act) methodology.
J Opt Soc Am A Opt Image Sci Vis
August 2024
In the pinhole point diffraction interferometer (PPDI), proper alignment between the reflection spot of the tested component and the pinhole is critical to obtain accurate interferograms. At present, adjusting for tilt error requires manual manipulation, and defocus error cannot be corrected. These limitations impede the instrumentation process of PPDI.
View Article and Find Full Text PDFInquiry
January 2025
The People's Hospital of Jianyang City, Jianyang, Sichuan Province, China.
This paper aims to establish an intelligent delivery system integrated with track logistics and explores its impact on the clinical transportation of goods. The study analyzed hospital delivery items before and after the implementation of an intelligent delivery system combined with automated track logistics in 2023. Delivery conditions prior to the system's activation served as the control group, while those post-implementation formed the observation group.
View Article and Find Full Text PDFFront Radiol
January 2025
Department of Biostatistics & Informatics, Colorado School of Public Health, Aurora, CO, United States.
In neuro-oncology, MR imaging is crucial for obtaining detailed brain images to identify neoplasms, plan treatment, guide surgical intervention, and monitor the tumor's response. Recent AI advances in neuroimaging have promising applications in neuro-oncology, including guiding clinical decisions and improving patient management. However, the lack of clarity on how AI arrives at predictions has hindered its clinical translation.
View Article and Find Full Text PDFFront Big Data
January 2025
The College of Computer, Qinghai Normal University, Xining, China.
Traditional rainfall data collection mainly relies on rain buckets and meteorological data. It rarely considers the impact of sensor faults on measurement accuracy. To solve this problem, a two-layer genetic algorithm-backpropagation (GA-BP) model is proposed.
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