The fast-growing field of Computational Cognitive Neuroscience is on track to meet its first crisis. A large number of papers in this nascent field are developing and testing novel analysis methods using the same stimuli and neuroimaging datasets. Publication bias and confirmatory exploration will result in overfitting to the limited available data. The field urgently needs to collect more good quality open neuroimaging data using a variety of experimental stimuli, to test the generalisability of current published results, and allow for more robust results in future work.

中文翻译：

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将文献过度拟合到一组刺激和数据

快速发展的计算认知神经科学领域有望迎接第一次危机。这个新兴领域的大量论文正在使用相同的刺激和神经影像数据集开发和测试新的分析方法。发表偏倚和验证性探索将导致对有限可用数据的过度拟合。该领域迫切需要使用各种实验刺激收集更多高质量的开放神经影像数据，以测试当前已发表结果的普遍性，并在未来的工作中获得更可靠的结果。