Figure 10.

Encoding properties of intrinsic features and comparing spike history with kinematics in premotor cortex. A, We found that spike history from all cells at multiple temporal scales effectively predicted spiking activity (see main text for statistics). Each point corresponds to a cell from a given animal (shape) and cortical area (color). Lines next to each column of data indicate interquartile range and median. B, We compared the performance of the spike history model to the full kinematic model and observed that, generally, spike history was a more effective predictor of spiking activity than kinematics. C, Median AUROC across cross-validation folds as a function of basis function, cortical area, and animal. In both areas, the longest spike history term had the best encoding performance. D, Distribution of the differences in AUROC between the full spike history model and a model based on the best single basis function (lag). To the right of each data column are the median and interquartile ranges of the data.