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期刊名:Nature human behaviour

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ISSN:2397-3374

e-ISSN:2397-3374

IF/分区:17.5/Q1

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共收录本刊相关文章索引2314
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Siyi Li,Huanqing Wang,Guoqiu Chen et al. Siyi Li et al.
Atypical social functioning is a core feature of autism, yet findings remain fragmented across components and development. We aimed to systematically integrate this literature and characterize the organization, development and moderators of...
Takuma Morimoto,Arash Akbarinia,Katherine R Storrs et al. Takuma Morimoto et al.
A key goal of visual neuroscience is to explain how our brains infer object properties such as colour, curvature or gloss. Here we used machine learning to identify computations underlying human gloss judgements-traditionally considered a c...
Sebastian Ramirez-Ruiz,Roman Senninger Sebastian Ramirez-Ruiz
Evidence is widely acknowledged as essential for crafting effective public policies. Despite its critical role, we know surprisingly little about the specific sources that inform decisions around the world. This paper explores the sources o...
Michelle G Newman,Ellen E Fitzsimmons-Craft,Seung Yeon Baik et al. Michelle G Newman et al.
Scalable approaches such as digital cognitive-behavioural therapy guided self-help (D-CBTgsh) may help close the treatment gap for college students with mental disorders. In a randomized clinical trial (ClinicalTrials.gov: NCT04162847) acro...
Johanna Rehder,Irina Timm,Gesa Berretz et al. Johanna Rehder et al.
Physical inactivity constitutes a pressing societal problem. To realize physical activity's (PA) potential as a key health resource, mechanisms of PA engagement need to be understood. Laboratory and interventional studies documented that ex...
Qingtian Mi,Christopher Summerfield Qingtian Mi
Humans often learn better when problems are broken down into parts, but this phenomenon has eluded explanation at the computational level. Here we study how differing training curricula help or hinder learning in a classic probabilistic cue...