Are there any computational models of mirror neurons? From Wikipedia:


  A mirror neuron is a neuron that fires both when an animal acts and when the animal observes the same action performed by another.


Mirror neurons are related to imitation learning, a very useful feature that is missing in current real-world A.I. implementations. Instead of learning from input-output examples (supervised learning) or from rewards (reinforcement learning), an agent with mirror neurons would be able to learn by simply observing other agents, translating their movements to its own coordinate system. What do we have on this subject regarding computational models?
This article gives a description of mirror neurons in terms of Hebbian learning, a mechanism that has been widely used in AI. I don't know whether the formulation given in the article has ever actually been implemented computationally.