  In this article, we establish a probabilistic representation for the
second-order moment of the solution of stochastic heat equation in $[0,1]
\times \bR^d$, with multiplicative noise, which is fractional in time and
colored in space. This representation is similar to the one given in Dalang,
Mueller and Tribe (2008) in the case of an s.p.d.e. driven by a Gaussian noise,
which is white in time. Unlike the formula of Dalang, Mueller and Tribe (2008),
which is based on the usual Poisson process, our representation is based on the
planar Poisson process, due to the fractional component of the noise.
