Recently, researchers have found time cells in the hippocampus that appear to contain information about the timing of past events. Some researchers have argued that time cells are taking a Laplace transform of their input in order to reconstruct the past stimulus. We argue that stimulus prediction, not stimulus reconstruction or redundancy reduction, is in better agreement with observed responses of time cells. In the process, we introduce new analyses of nonlinear, continuous-time reservoirs that model these time cells.

中文翻译：

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时间单元可能已针对预测容量进行了优化，而不是针对冗余减少或存储容量进行了优化

最近，研究人员发现海马中的时间细胞似乎包含有关过去事件发生时间的信息。一些研究人员认为，时间单元正在对其输入进行拉普拉斯变换，以重建过去的刺激。我们认为，刺激预测，而不是刺激重建或冗余减少，与观察到的时间细胞反应更好地吻合。在此过程中，我们将介绍对这些时间单元建模的非线性连续时间储层的新分析。