Adults of all ages are worse at recognizing pairs of items that were previously seen together relative to the individual items, and this paired-associative memory deficit is exacerbated in aging. Less is known about memory for higher associative loads, which place greater demands on binding processes that link items into a cohesive memory trace, among other processes (e.g., working memory, recollection). In this study, adults across the lifespan (n = 250, 18-78 years) completed a novel recognition task in which they studied word pairs, triplets, and quadruplets and were tested on their memory for repeated, recombined, and novel word sets. Associative memory deficits were seen in adults of all ages as fewer correct responses to repeated sets (hits), more incorrect responses to recombined sets (recombined false alarm, FA), and larger differences between these measures (associative memory) at higher set sizes. In addition, older adults had worse associative memory performance (higher recombined FA, lower associative memory) that increased at higher set sizes. These findings indicate that associative memory deficits increase with demands on binding or other processes at higher associative loads and with aging. They further demonstrate the feasibility of manipulating and assessing associative memory load using our novel QuadMax task.
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http://dx.doi.org/10.1080/0361073X.2022.2115740 | DOI Listing |
Nature
January 2025
Department of Brain and Cognitive Sciences and McGovern Institute, MIT, Cambridge, MA, USA.
Hippocampal circuits in the brain enable two distinct cognitive functions: the construction of spatial maps for navigation, and the storage of sequential episodic memories. Although there have been advances in modelling spatial representations in the hippocampus, we lack good models of its role in episodic memory. Here we present a neocortical-entorhinal-hippocampal network model that implements a high-capacity general associative memory, spatial memory and episodic memory.
View Article and Find Full Text PDFAging Dis
January 2025
Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, Lørenskog 1478, Norway.
Alzheimer's disease (AD) is marked by extracellular beta-amyloid (Aβ) plaques and intracellular Tau tangles, leading to progressive cognitive decline and neuronal dysfunction. Impaired autophagy, a process by which a cell breaks down and destroys damaged or abnormal proteins and other substances, contributes to AD progression. This study investigated Nuclear Receptor Subfamily 1 Group D Member 1 (NR1D1) as a potential therapeutic target for modulating autophagy.
View Article and Find Full Text PDFWorld Psychiatry
February 2025
Departments of Population and Public Health Sciences, and Psychology, and School of Social Work, University of Southern California, Los Angeles, CA, USA.
Neuroimage
January 2025
Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China. Electronic address:
Although creative ideas often emerge during distraction activities unrelated to the creative task, empirical research has yet to reveal the underlying neurocognitive mechanism. Using an incubation paradigm, we temporarily disengaged participants from the initial creative ideation task and required them to conduct two different distraction activities (moderately-demanding: 1-back working memory task, non-demanding: 0-back choice reaction time task), then returned them to the previous creative task. On the process of creative ideation, we calculated the representational dissimilarities between the two creative ideation phases before and after incubation period to estimate the neural representational change underlying successful incubation.
View Article and Find Full Text PDFCogn Neurodyn
December 2025
School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, 310018 China.
Psychological studies have demonstrated that the music can affect memory by triggering different emotions. Building on the relationships among music, emotion, and memory, a memristor-based emotion associative learning circuit is designed by utilizing the nonlinear and non-volatile characteristics of memristors, which includes a music judgment module, three emotion generation modules, three emotional homeostasis modules, and a memory module to implement functions such as learning, second learning, forgetting, emotion generation, and emotional homeostasis. The experimental results indicate that the proposed circuit can simulate the learning and forgetting processes of human under different music circumstances, demonstrate the feasibility of memristors in biomimetic circuits, verify the impact of music on memory, and provide a foundation for in-depth research and application development of the interaction mechanism between emotion and memory.
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