Figure 8.

Intrinsic spiking history carries complementary information to kinematics features. Scatter-plots showing a unit-by-unit comparison of the predictive power of the kinematics model (x-axis) to that of a model that uses both kinematics features and intrinsic spiking history features (y-axis). Adding 100 ms of intrinsic spiking history information improves prediction substantially for almost all units, consistently across animals and areas. In the figure legends, “S” indicates the session, μ_Δ is the mean change in predictive power, and m_Δ is the median change in predictive power.