  The evolution of biological brains has always been contingent on their
embodiment within their respective environments, in which survival required
appropriate navigation and manipulation skills. Studying such interactions thus
represents an important aspect of computational neuroscience and, by extension,
a topic of interest for neuromorphic engineering. Here, we present three
examples of embodiment on the BrainScaleS-2 architecture, in which dynamical
timescales of both agents and environment are accelerated by several orders of
magnitude with respect to their biological archetypes.
