From diffusive noise to escape noise

This lecture covers the comparison between diffusive noise and escape noise in neuronal dynamics. It discusses the stochastic spike arrival, noisy integration, and escape rates, highlighting the differences in simulation and calculation complexity. The instructor also explains how escape noise represents internal noise, is easier to simulate and calculate, and serves as the basis for modern model fitting methods.