  A new class of patterns for multiplex networks is studied, which consists in
a collection of different homogeneous states each referred to a distinct layer.
The associated stability diagram exhibits a tricritical point, as a function of
the inter-layer diffusion coefficients. The coarse-grained patterns made of
alternating homogenous layers, are dynamically selected via non homogeneous
perturbations superposed to the underlying, globally homogeneous, fixed point
and by properly modulating the coupling strength between layers. Furthermore,
layer-homogenous fixed points can turn unstable following a mechanism \`a la
Turing, instigated by the intra-layer diffusion. This novel class of solutions
enriches the spectrum of dynamical phenomena as displayed within the variegated
realm of multiplex science.
