  Inspired by the human brain, there is a strong effort to find alternative
models of information processing capable of imitating the high energy
efficiency of neuromorphic information processing. One possible realization of
cognitive computing are reservoir computing networks. These networks are built
out of non-linear resistive elements which are recursively connected. We
propose that a skyrmion network embedded in frustrated magnetic films may
provide a suitable physical implementation for reservoir computing
applications. The significant key ingredient of such a network is a
two-terminal device with non-linear voltage characteristics originating from
single-layer magnetoresistive effects, like the anisotropic magnetoresistance
or the recently discovered non-collinear magnetoresistance. The most basic
element for a reservoir computing network built from "skyrmion fabrics" is a
single skyrmion embedded in a ferromagnetic ribbon. In order to pave the way
towards reservoir computing systems based on skyrmion fabrics, here we simulate
and analyze i) the current flow through a single magnetic skyrmion due to the
anisotropic magneto-resistive effect and ii) the combined physics of local
pinning and the anisotropic magneto-resistive effect.
