A new paper describes a "universal learning neurocomputer" in the form of a robot that simulates a Turning machine by talking to itself. The paper is titled, "What Is Working Memory and Mental Imagery? A Robot that Learns to Perform Mental Computations" (PDF format). The author is Victor Eliashberg. Victor's project, Brain 0, has been investigating context-sensitive dynamically reconfigurable universal learning systems since the late sixties. His premise is that such a learning system, equivalent to the human brain, must have a relatively short formal representation, because such a representation is encoded in the human genome.