  Pavlovian reflex is an essential mechanism of nervous systems of living
beings which allows them to learn. Liquid colloid computing devices offer a
high degree of fault-tolerance, reconfigurability and plasticity. As a first
step towards designing and prototyping colloidal neuromorphic computing systems
we decided to evaluate if it is possible to implement Pavlovian reflexes. We
equate an increase of a synaptic weight with decreased resistance. In
laboratory experiments we demonstrated that it is possible to implement
Pavlovian learning using just two volumes of colloid liquid.
