​In this talk, we discuss a family of Ising perceptron models with {0,1}-valued activation functions. This includes the classical half-space models and some of the symmetric models considered in recent works. For each of these models, we show that the free energy is self-averaging, there is a sharp threshold sequence, and the free energy is universal concerning the disorder. A prior work by Xu (2019) used very different methods to show a sharp threshold sequence in the half-space Ising perceptron with Bernoulli disorder. Recent works of Perkins-Xu (2021) and Abbe-Li-Sly (2021) determined the sharp threshold and the limiting free energy in a symmetric perceptron model. The results apply in more general settings and are based on new "add one constraint" estimates extending Talagrand's estimates for the half-space model. This talk is based on joint work with Nike Sun (MIT).