The Temporal and Contextual Stability of Activity Levels in Hippocampal CA1 Cells

Abstract

Recent long-term optical imaging studies have demonstrated that the activity levels of hippocampal neurons in a familiar environment change on a daily to weekly basis. However, it is unclear whether there is any time-invariant property in the cells neural representations. In this study, using miniature fluorescence microscopy, we measured the neural activity of the mouse hippocampus in four different environments every 3 days. Although the activity level of hippocampal neurons fluctuated greatly in each environment across days, we found a significant correlation between the activity levels for different days, and the correlation was higher for averaged activity levels across multiple environments. When the number of environments used for averaging was increased, a higher activity correlation was observed. Furthermore, the number of environments in which a cell showed activity was preserved. Cells that showed place cell activity in many environments had greater spatial information content, and thus carried a higher amount of information about the current position. In contrast, cells that were active only in a small number of environments provided sparse representation for the environment. These results suggest that each cell has not only an inherent activity level but also play a characteristic role in the coding of space. Significance StatementRecent studies have revealed that place cell activity in the hippocampal CA1 cells exhibit instability on a daily to weekly scale. However, it is unclear whether there is any invariant property in the activity of the cells. In this study, we found that, although the activity level of CA1 neurons fluctuated greatly in one environment, the mean activity level across multiple environments was more stable. Furthermore, the number of environments in which a cell showed activity was preserved over time. These results suggest that even though the spatial code changes dynamically, each cell has an inherent activity level and plays a characteristic role in spatial coding.