论文标题
时间单元可能针对预测能力进行优化，而不是减少冗余或记忆能力
Time cells might be optimized for predictive capacity, not redundancy reduction or memory capacity
论文作者
论文摘要
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时机的信息。一些研究人员认为，时间细胞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，而不是刺激重建或减少冗余，与观察到的时间细胞的响应更好地一致。在此过程中，我们介绍了对这些时间单元进行建模的非线性，连续时间储层的新分析。
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.
