Representations of motion patterns can be quickly learned and adapted by
a variety of field computational methods; many involve the extraction of
frequency-domain information from example motions (by application of
inner-product or filtering techniques).
Invariances in sensorimotor coordination can emerge similarly from
simple correlational adaptive algorithms.
Since an adequate treatment of field-computational approaches to
learning is beyond the scope of this paper, I will
give just two examples of the field-computational approach.