The present experiments were conducted to determine whether processing fluency affects source memory decisions. In the first three experiments, participants decided whether test items appeared in the same sensory modality (Experiments 1A, 1B) or perceptual form (font type, Experiment 2) at study and test. The results were consistent across the three studies and showed that perceptual priming leads to an increase in reports that stimuli were presented in the same sensory or perceptual form during the study and test phase. Experiment 3 showed that conceptual fluency affects source attributions in much the same way as perceptual fluency, and Experiment 4 showed that fluency is associated with a subjective experience of familiarity even when it might serve as a basis for source inference. These results are consistent with recent neuropsychological and neuroimaging evidence that familiarity-based processes contribute to source memory decisions under some circumstances, such as when items and contexts are unitized rather than merely bound together at encoding.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/17470218.2011.561866 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Exploring the influence of pregnancy on cognitive function in women: a systematic review.
BMC Pregnancy Childbirth
January 2025
Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon.
Background: Pregnancy has been increasingly recognized for its potential impact on cognitive function influenced significantly by hormonal fluctuations such as estrogen and progesterone. However, the findings from research in this area remain debated, often varying with individual factors and pregnancy trimesters.
Objective: This study aims to systematically review existing literature and empirical research to better understand the phenomenon known as "pregnancy brain" and its association with cognitive change.
Forecasting of virtual power plant generating and energy arbitrage economics in the electricity market using machine learning approach.
Sci Rep
January 2025
Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India.
Over time, the importance of virtual power plants (VPP) has markedly risen to seamlessly incorporate the sporadic nature of renewable energy sources into the existing smart grid framework. Simultaneously, there is a growing need for advanced forecasting methods to bolster the grid's stability, flexibility, and dispatchability. This paper presents a dual-pronged, innovative approach to maximize income in the day-ahead power market through VPP.
View Article and Find Full Text PDFStudying gender in the experiences of patients with heart failure: A scoping review of qualitative studies and methodological recommendations.
Womens Health (Lond)
January 2025
Department of Ethics Law and Humanities, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Background: Considering how gendered experiences play a role in the lives of patients with heart failure (HF) is critical in order to understand their experiences, optimise clinical care and reduce health inequalities.
Objectives: The aim of our study was to review how gender is being studied in qualitative research in HF, specifically to (1) analyse how gender is conceptualised and applied in qualitative HF research; and (2) identify methodological opportunities to better understand the gendered experiences of patients with HF.
Eligibility Criteria: We conducted a systematic search of literature, including qualitive or mixed-methods articles focussing on patients' perspectives in HF and using gender as a primary analytical factor, excluding articles published before 2000.
Genetically predicted brain cortical structure mediates the causality between insulin resistance and cognitive impairment.
Front Endocrinol (Lausanne)
January 2025
Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Background: Insulin resistance is tightly related to cognition; however, the causal association between them remains a matter of debate. Our investigation aims to establish the causal relationship and direction between insulin resistance and cognition, while also quantifying the mediating role of brain cortical structure in this association.
Methods: The publicly available data sources for insulin resistance (fasting insulin, homeostasis model assessment beta-cell function and homeostasis model assessment insulin resistance, proinsulin), brain cortical structure, and cognitive phenotypes (visual memory, reaction time) were obtained from the MAGIC, ENIGMA, and UK Biobank datasets, respectively.
A hybrid deep learning air pollution prediction approach based on neighborhood selection and spatio-temporal attention.
Sci Rep
January 2025
School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing, 100055, China.
Air pollution is a critical global environmental issue, further exacerbated by rapid industrialization and urbanization. Accurate prediction of air pollutant concentrations is essential for effective pollution prevention and control measures. The complex nature of pollutant data is influenced by fluctuating meteorological conditions, diverse pollution sources, and propagation processes, underscores the crucial importance of the spatial and temporal feature extraction for accurately predicting air pollutant concentrations.
View Article and Find Full Text PDFWant 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!