This guide is primarily aimed at researchers from AI and machine learning backgrounds who may not be familiar with neuroimaging methodology. Reconstruction from neuroimaging data has recently gained popularity at major AI conferences, but many approaches fall into common traps that are well known within neuroscience. These pitfalls can lead to misleading results, often due to misunderstandings about the nature of fMRI data or the limitations of datasets originally collected for other research questions. For a detailed discussion of such issues in recent reconstruction pipelines, see: Shirakawa, K. et al. (2025). Spurious reconstruction from brain activity, Neural Networks .
正是这种多年积累的战略定力和技术底牌，让格林美在面对外部环境突变时，拥有了从容应对的底气。而这份底气，很快就要接受新一轮考验。
。关于这个话题，heLLoword翻译官方下载提供了深入分析
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