| First Author | Lee JS | Year | 2020 |
| Journal | Cell | Volume | 183 |
| Issue | 3 | Pages | 620-635.e22 |
| PubMed ID | 33035454 | Mgi Jnum | J:298917 |
| Mgi Id | MGI:6477710 | Doi | 10.1016/j.cell.2020.09.024 |
| Citation | Lee JS, et al. (2020) The Statistical Structure of the Hippocampal Code for Space as a Function of Time, Context, and Value. Cell 183(3):620-635.e22 |
| abstractText | Hippocampal activity represents many behaviorally important variables, including context, an animal's location within a given environmental context, time, and reward. Using longitudinal calcium imaging in mice, multiple large virtual environments, and differing reward contingencies, we derived a unified probabilistic model of CA1 representations centered on a single feature-the field propensity. Each cell's propensity governs how many place fields it has per unit space, predicts its reward-related activity, and is preserved across distinct environments and over months. Propensity is broadly distributed-with many low, and some very high, propensity cells-and thus strongly shapes hippocampal representations. This results in a range of spatial codes, from sparse to dense. Propensity varied approximately 10-fold between adjacent cells in salt-and-pepper fashion, indicating substantial functional differences within a presumed cell type. Intracellular recordings linked propensity to cell excitability. The stability of each cell's propensity across conditions suggests this fundamental property has anatomical, transcriptional, and/or developmental origins. |
