  Proteinoids are thermal proteins which form microspheres in water in presence
of salt. Ensembles of proteinoid microspheres exhibit passive non-linear
electrical properties and active neuron-like spiking of electrical potential.
We propose that various neuromorphic computing architectures can be prototyped
from the proteinoid microspheres. A key feature of a neuromorphic system is a
learning. Through the use of optical and resistance measurements, we study
mechanisms of learning in ensembles of proteinoid microspheres. We anlyse 16
types of proteinoids, study their intrinsic morphology and electrical
properties. We demonstrate that proteinoids can learn, memorize, and habituate,
making them a promising candidate for novel computing.
