Current Issue
- March 28, 2023
- vol. 120
- no. 13
- While decades of work has found robust neuroimaging correlates of successful encoding, it remains unclear whether these signals reflect causal mechanisms of memory. We develop a research design and analysis approach that allows statistical ...Over 40 y of accumulated research has detailed associations between neuroimaging signals measured during a memory encoding task and later memory performance, across a variety of brain regions, measurement tools, statistical approaches, and behavioral ...
- Previous studies on the interaction between nucleoporins and HIV-1 capsid focused on the classical FG-motif and CA hexamer. In this study, we found that besides the FG-motif engaging the CA hexamer, a triple-arginine (RRR) motif at the C ...Increasing evidence has suggested that the HIV-1 capsid enters the nucleus in a largely assembled, intact form. However, not much is known about how the cone-shaped capsid interacts with the nucleoporins (NUPs) in the nuclear pore for crossing the nuclear ...
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- This placebo-controlled multimodal [functional MRI-electroencephalography (fMRI-EEG)] human neuroimaging study offers the most comprehensive view of the acute brain action of psychedelics to date. It assessed N,N-Dimethyltryptamine (DMT), a ...Psychedelics have attracted medical interest, but their effects on human brain function are incompletely understood. In a comprehensive, within-subjects, placebo-controlled design, we acquired multimodal neuroimaging [i.e., EEG-fMRI (...
- Empirical evidence suggests that non-White scientists experience various forms of inequality, creating barriers to their entry and participation in academic research. We contribute to this literature by examining disparities in i) editorial ...Disparities continue to pose major challenges in various aspects of science. One such aspect is editorial board composition, which has been shown to exhibit racial and geographical disparities. However, the literature on this subject lacks longitudinal ...
- We survey a current, heated debate in the artificial intelligence (AI) research community on whether large pretrained language models can be said to understand language—and the physical and social situations language encodes—in any humanlike sense. We ...
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