  In general, the behavior of large and complex aggregates of elementary
components can not be understood nor extrapolated from the properties of a few
components. The brain is a good example of this type of networked systems where
some patterns of behavior are observed independently of the topology and of the
number of coupled units. Following this insight, we have studied the dynamics
of different aggregates of logistic maps according to a particular {\it
symbiotic} coupling scheme that imitates the neuronal excitation coupling. All
these aggregates show some common dynamical properties, concretely a bistable
behavior that is reported here with a certain detail. Thus, the qualitative
relationship with neural systems is suggested through a naive model of many of
such networked logistic maps whose behavior mimics the waking-sleeping
bistability displayed by brain systems. Due to its relevance, some regions of
multistability are determined and sketched for all these logistic models.
