Age-related declines in associative memory are ubiquitous, with decreases in behavioral discriminability largely arising from increases in false memories for recombined lures. Using representational similarity analyses to examine the neural basis of associative false memories in aging, the current study found that neural pattern similarity between Hits and FAs and Hits and CRs differed as a function of age in occipital ROIs, such that older adults exhibited a smaller difference between the two similarity metrics than did younger adults. Additionally, greater Hit-FA representational similarity correlated with increases in associative FAs across several ROIs. Results suggest that while neural representations underlying targets may not differ across ages, greater pattern similarity between the neural representation of targets and lures may reflect reduced distinctiveness of the information encoded in memory, such that old and new items are more difficult to discriminate, leading to more false alarms.
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http://dx.doi.org/10.1080/13825585.2022.2037500 | DOI Listing |
Phys Rev Lett
December 2024
Faculty of Physics, University of Warsaw, Ludwika Pasteura 5, 02-093 Warszawa, Poland.
We present an approach to detecting (linear) gravitational wave memory in a Galactic core-collapse supernova using current interferometers. Gravitational wave memory is an important prediction of general relativity that has yet to be confirmed. Our approach uses a combination of linear prediction filtering and matched filtering.
View Article and Find Full Text PDFNAR Genom Bioinform
December 2024
Department of Data Science, 01Life Institute, Shenzhen 518000, China.
The development of multi-omics technologies has generated an abundance of biological datasets, providing valuable resources for investigating potential relationships within complex biological systems. However, most correlation analysis tools face computational challenges when dealing with these high-dimensional datasets containing millions of features. Here, we introduce pyNetCor, a fast and scalable tool for constructing correlation networks on large-scale and high-dimensional data.
View Article and Find Full Text PDFPLoS One
December 2024
Centro de Investigación en Computación (CIC), Instituto Politécnico Nacional, Ciudad de México, México.
Informal education via social media plays a crucial role in modern learning, offering self-directed and community-driven opportunities to gain knowledge, skills, and attitudes beyond traditional educational settings. These platforms provide access to a broad range of learning materials, such as tutorials, blogs, forums, and interactive content, making education more accessible and tailored to individual interests and needs. However, challenges like information overload and the spread of misinformation highlight the importance of digital literacy in ensuring users can critically evaluate the credibility of information.
View Article and Find Full Text PDFJ Neural Eng
December 2024
School of Life Sciences, Tiangong University, NO.399, Binshuixi Road, Xiqing District, Tianjin, P.R.China., Tianjin, Tianjin, 300387, CHINA.
Objective: Automatic detection and prediction of epilepsy are crucial for improving patient care and quality of life. However, existing methods typically focus on single-dimensional information and often confuse the periodic and aperiodic components in electrophysiological signals.
Approach: We propose a novel deep learning framework that integrates temporal, spatial, and frequency information of EEG signals, in which periodic and aperiodic components are separated in the frequency domain.
Cogn Res Princ Implic
December 2024
Complexity Science Hub, Metternichgasse 8, 1030, Vienna, Austria.
Prior studies indicate that emotions, particularly high-arousal emotions, may elicit rapid intuitive thinking, thereby decreasing the ability to recognize misinformation. Yet, few studies have distinguished prior affective states from emotional reactions to false news, which could influence belief in falsehoods in different ways. Extending a study by Martel et al.
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