Topic: generalized activating function

Personalized computational modeling is rapidly expanding the landscape of therapeutic possibilities for neurostimulation. However, applications are limited by the computational expense of electrophysiological simulations. Here, we introduce a new method for dramatically reducing these costs while preserving the accuracy of traditional axon simulations.The “activating function” (AF) is a linear quantity derived directly from the extracellular field potential that can predict axonal spike initiation in lieu of compartment-based models [1], but with limited accuracy. Thus, we developed a “general