  We introduce the percolation with plasticity (PWP) systems that exhibit
neuromorphic functionalities including multi-valued memory, random number
generation, matrix-vector multiplication, and associative learning. PWP systems
have multiple (N >> 1) interfaces with external circuitry (electrodes) allowing
N! >> 1 measurable interelectrode resistances. Due to the underlying material
properties, they undergo successive nonvolatile modifications in response to
electric pulses. PWP networks offer some advantages over the existing neural
network architectures. Overall, random self-tuning PWP systems with high degree
of parallelism, multiple inputs and outputs present close similarities to the
cortex of mammalian brain. Understanding their topology, electrodynamics, and
statistics opens a field of its own calling upon new theoretical and
experimental insights.
