标题： 海马体活动中的位点细胞异质性导致幂律现象 显示英文标题

标题： Place-cell heterogeneity underlies power-laws in hippocampal activity

摘要： 幂律缩放在粗粒度数据中表明了临界动力学，但这种缩放的真实来源通常不清楚。 在这里，我们分析了空间导航期间记录的神经活动，在现象学重正化群（PRG）过程中再现了按活动相似性对单元进行聚类的幂律缩放。 这种缩放之前与临界性相关联。 在这里，我们表明，该过程的迭代性质本身在应用于具有空间结构活动的异质、非相互作用单元时会导致幂律的出现，而无需临界相互作用。 此外，由异质非相互作用单元产生的缩放指数与记录的神经数据中的观察指数相匹配。 PRG的一个简化版本进一步揭示了异质性如何平滑跨尺度的转换，模仿临界行为。 产生的指数系统地依赖于系统和种群大小，这些预测通过子采样数据得到了证实。 显示英文摘要

摘要： Power-law scaling in coarse-grained data suggests critical dynamics, but the true source of this scaling often remains unclear. Here, we analyze neural activity recorded during spatial navigation, reproducing power-law scaling under a phenomenological renormalization group (PRG) procedure that clusters units by activity similarity. Such scaling was previously linked to criticality. Here, we show that the iterative nature of the procedure itself leads to the emergence of power laws when applied to heterogeneous, non-interacting units obeying spatially structured activity without requiring critical interactions. Furthermore, the scaling exponents produced by heteregeneous non-interacting units match the observed exponents in recorded neural data. A simplified version of the PRG further reveals how heterogeneity smooths transitions across scales, mimicking critical behavior. The resulting exponents depend systematically on system and population size, predictions confirmed by subsampling the data.