Changes in synaptic connectivity are one way that learning occurs. It is interesting to see that even minor stimulation (in playing a game like tetris) can lead to observable changes, i.e., the hardware of the mind (aka the brain) can be re-modelled by the software being run (the 'program' or specific task being undertaken). One of the next questions is to begin to understand the rules governing how learning is represented. This will allow us to begin debugging the OS kernel that links brain and mind.

the 'amount of information' you refer to is the Kolmogorv Complexity

- all you are saying is that the system to be modeled has a large number of degrees of freedom.

- I suspect the FACETs team know this.

- the more interesting question is, even approximately, how many degrees of freedom, f, are there?
for n synapses; what is O(n^f)

trust ? trust nothing and nobody !, and encase your head in lead to prevent Van Eck Phreaking