Before revision:   Along with deriving this model and specifying the analogous neural case, we analyse the phase transition to understand the physics of neural network learning.
After revision:  The resultant statistical physical model allows us to recover the expressions for some known activation functions as various special cases. Along with deriving this model and specifying the analogous neural case, we analyse the phase transition to understand the physics of neural network learning.