  The living mycelium networks are capable of efficient sensorial fusion over
very large areas and distributed decision making. The information processing in
the mycelium networks is implemented via propagation of electrical and chemical
signals en pair with morphological changes in the mycelium structure. These
information processing mechanisms are manifested in experimental laboratory
findings that show that the mycelium networks exhibit rich dynamics of
neuron-like spiking behaviour and a wide range of non-linear electrical
properties. On an example of a single real colony of \emph{Aspergillus niger},
we demonstrate that the non-linear transformation of electrical signals and
trains of extracellular voltage spikes can be used to implement logical gates
and circuits. The approaches adopted include numerical modelling of excitation
propagation on the mycelium network, representation of the mycelium network as
a resistive and capacitive (RC) network and an experimental laboratory study on
mining logical circuits in mycelium bound composites.
