  Linear thresholding systems have been used as a model of neural activation
and have more recently been proposed as a model of gene activation.
Deterministic linear thresholding systems can be turned into non-deterministic
systems by the introduction of noise. Under mild conditions on the noise, we
show that the deterministic model can be deduced from the probabilities of the
non-deterministic model.
