Topic: Spatial cells

A tantalizing goal for systems neuroscience is to determine how the hippocampus and related brain areas support spatial navigation and memory. Continued progress towards this goal requires recording large populations of neurons simultaneously. Thanks to methodological advances it is now possible to record such populations, but it remains unclear how to efficiently analyze these large data sets. In this work we combine simulations, standard analyses, and machine learning to create an efficient pipeline for the analysis of spatial cells. Due to increased emphasis on determining how different cel