The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...
This course is for statisticians, health economists, and decision modellers who are interested in understanding and applying the latest evidence synthesis and population adjustment methodologies in ...
Early-stage lung adenocarcinoma alters DNA methylation, mRNA transcription, and protein expression in adjacent tissues, exhibiting either steep changes at the tumor boundaries or shallow changes ...
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MIT和哈佛团队重新定义AI图像生成:告别传统时间依赖,迎来"平衡 ...
这项由MIT的王润谦和哈佛大学的杜逸伦共同主导的突破性研究,于2025年10月发表在预印本服务器arXiv上(论文编号:arXiv:2510.02300v2)。这项研究提出了一种全新的生成建模框架——平衡匹配(Equilibrium ...
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