  MemComputing is a new model of computation that exploits the non-equilibrium
property-we call 'memory'-of any physical system to respond to external
perturbations by keeping track of how it has reacted at previous times. Its
digital, scalable version maps a finite string of symbols into a finite string
of symbols. In this paper, I will discuss some analogies of the operation of
MemComputing machines-in general, and digital in particular-with a few physical
properties of the biological brain. These analogies could be a source of
inspiration to improve on the design of these machines. In turn, they could
suggest new directions of study in (computational) neuroscience.
