god, its simple, but its a whole lot of thinking thats not commonplace among programmers.
all its doing is recording bits of the screen into each cell, and the connections have a simple nn weight, which just multiplies a binary number, to a normalized scalar "confidence" and then if you look down a little in the forum, youll see my initial work here, ive got a post there, its not a bogus demonstration, but im a bit of a dope, when it comes to commentaries, i do not sound intelligent.
so more proof of the validity is in the post a litte down a bit, by rouncer, me.
trust me, the problem is, and its self defeating the purpose of doing this is->
explicit whole frames/states only - as if it was just a screen recorder. the cheat mode is using the combinations of the cell fires to represent whole states, as aposed to just sticking every whole state into an individual cell (which will give you very little states, unless there was a lot of cells, 4096x4096 - 16 million...) but im working on that right now, because its much better, way more store, but i dont think you can get whole states retrievable in full (from a distributed representation) like that easily, or actually capturing them all being possible at all... cause magic isnt real.
but a neural network as i see it, is primarily a compressor and search engine.
it will be an awesome invention, if i manage to get to playback of 66 90 minute films out of a single plane (which may become a volumetric cube) of cells.
its a new way to do video compression, but theres issues with it, like it would only play on similarity to the last frame, and you can imagine how kinda wierd that would be. heheh