Abstract
Current conceptual models of mirror neurons attribute high level functions such as imitation, action understanding and (precursor of) language to mirror neurons. However the number of studies that take a computational viewpoint to realize these proposals is limited. In this article we first present current opinions (`conceptual models') on the mirror neuron function. Then we review the computational models available and explain the strengths and weakness of these models in addressing the mirror neurons. Our meta-analysis underlines the gap between conceptual and computational models and points out the required research effort at both sides to reduce this gap.
