  We provide explicit lower bounds for the deficit in the Gaussian logarithmic
Sobolev inequality in terms of differential operators that are naturally
associated with the so-called Stein characterization of the Gaussian
distribution. The techniques are based on a crucial use of the representation
of the relative Fisher information, along the Ornstein-Uhlenbeck semigroup, in
terms of the Minimal Mean-Square Error from information theory.
