An important discovery in false-memory research is Israel and Schacter's (Psychonomic Bulletin & Review, 4, 577-581, 1997) finding that presenting pictures at study relative to words alone reduces false memory in the DRM paradigm, a result that has been replicated many times. The standard interpretation is that memory for visual processing of the pictures can be used to reject the critical distractors, which were not explicitly present at study. Beginning from the empirical observation that the pictures used by Israel and Schacter are not consistently labelled with the DRM word they are supposed to represent, we present a series of four studies designed to determine if it is the presentation of pictures or the mismatch between the pictures and the words that reduces false memory. The results across the four experiments demonstrate that picture presentation at study is neither necessary nor sufficient to reduce false memory in the DRM and the categorical associate paradigms. However, we discuss other studies in which picture processing clearly is responsible for reduction of false alarms and note that these studies use study materials and memory tests that are different from the DRM and categorical associate paradigms in that critical lures are externally provided rather than generated. We speculate that the effectiveness of memory for visual processing for reducing false memory may depend on the source of the false memory, but this remains for future research.
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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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