Center for Theoretical Neuroscience, Columbia University, New York, NY 10027;
Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027.
Proc Natl Acad Sci U S A. 2021 Dec 21;118(51). doi: 10.1073/pnas.2018422118.
The observation of place cells has suggested that the hippocampus plays a special role in encoding spatial information. However, place cell responses are modulated by several nonspatial variables and reported to be rather unstable. Here, we propose a memory model of the hippocampus that provides an interpretation of place cells consistent with these observations. We hypothesize that the hippocampus is a memory device that takes advantage of the correlations between sensory experiences to generate compressed representations of the episodes that are stored in memory. A simple neural network model that can efficiently compress information naturally produces place cells that are similar to those observed in experiments. It predicts that the activity of these cells is variable and that the fluctuations of the place fields encode information about the recent history of sensory experiences. Place cells may simply be a consequence of a memory compression process implemented in the hippocampus.
位置细胞的观察表明,海马体在编码空间信息方面起着特殊的作用。然而,位置细胞的反应受到几个非空间变量的调制,并被报道相当不稳定。在这里,我们提出了一个海马体的记忆模型,为这些观察结果提供了一种与位置细胞一致的解释。我们假设海马体是一种记忆装置,它利用感官体验之间的相关性,生成存储在记忆中的事件的压缩表示。一个能够有效压缩信息的简单神经网络模型自然会产生类似于实验中观察到的位置细胞。它预测这些细胞的活动是可变的,并且位置场的波动编码了关于最近的感官体验历史的信息。位置细胞可能只是海马体中实现的记忆压缩过程的结果。