After the discussion in the previous post I took a look at the state data dumped by the program. While the waking and non-waking (dreaming and mind-wandering) states are clearly differentiable according to the quality of the state data (see this state plot), it seems they are not so easily to distinguish in terms of the number of activated percepts per frame. Actually it turns out that the distribution of the number of activated percepts per frame is very close in waking and non-waking cases. This indicates to me that the predictor is doing a good job learning, but that there is something missing that is manifest in the quality of dreaming and mind-wandering, which seems to be much more stable over time compared to waking. Following are histograms of the number of percepts active for each frame in 84990 and 256574 frame tests. In these tests the exogenous activation was disabled so we can look directly at the output of the predictor.
I did not have sufficient disk space to dump the rendered frames to disk over the long test, so it’s unclear how sparse those dreams appear.