The concept of biomimetic systems was introduced in the early definition of
bioelectronics. As we have already seen in the first chapter, the original
definition of bioelectronics set by Wolfgang Göpel includes
“structures [that] may consist… of chemically
synthesized units such as molecules, supramolecules and
biologically active (biomimetic) recognition centers” [1]. Over the
years, the concept has been expanded in order to move from simple
recognition systems to biomimetic membranes for voltage shifts in
graphene-based transistors [2], systems for cell separation in the blood
[3], electronic noses [4, 5], electronic tongues [6], smart info-chemical
communication systems [7], electronic design [8], pancreatic beta-cells [9],
and neurons [10].
Artificial brain architectures, with all the neurons fully interconnected in
parallel, show issues in terms of scalability, especially because the number
of interconnections scales exponentially with the number of neurons [11],
while it would be desirable for it to scale like biologically plausible
architectures [11]. This brings us to the concept of bio-inspired or
biomimetic systems as possible solutions to solve problems emerging in
extremely complex bioelectronics architectures. Over the years, several
bio-inspired and neuromorphic architectures have been proposed in the
literature for silicon neurons [10], synaptic and neural components made of
NiTi [12, 13], sensors [14], orientation tuning devices [15], and pattern
recognition systems [16]. In the direction of more complexity and
functionality, the present state-of-the-art in the field proposes artificial
systems for pancreas [9], skin [17, 18], cognitive architectures, and brains
[19, 20].