I *finally* broke down and took a look at the IBM ''brain on a
   chip'' as well as a few other companies/people doing the same
   thing. So, time for a brain dump.

   Prior to this,

   I figured out that NOR (neither this) nor (this) nor (this) nor
   (this) thinking) was the answer rather than NAND (not (this and
   this and that and that and that).

   I learned the difference between serial and parallel circuits.

   I learned that a floating gate would be the answer; unlike RAM,
   the settings *stay* where they are until you put power to it.
   That way it wouldn't need much energy until it's needed.

   I figured out, painfully, that a CMOS (the thing that stores the
   settings in your computer even when it's turned off) - would be
   a good start of a model of a human neuron - or rather, more
   importantly, a human ''memory cell'' - 'cause the brain doesn't
   need a whole lot of electricity to run.

   and I even found some evidence of what *could* be a ''memory
   cell'' in the human brain that attaches itself to a grid (of
   tubes)...

   and that what it stores is primarily grabbed by medial
   entorhinal cortex - which is our brain's map of the room we're
   in *at the time* - the backdrop with which the information from
   the lateral entorhinal cortex plays out - called the ''what'' -
   but not only sends some things to the hippocampus for long term
   memory - but it also is *fed* by the long term memory - and
   COMPARES IMAGINATION to WHAT YOU SEE, probably through a quick
   XOR of the two. (overlapping images and showing *only* what has
   changed from expectations) - but not just images but also other
   types of expectations vs realities;

   I figured out the future of computers would require parallel
   processing, CMOS syle - and a level of fuzziness in retrieving
   sparse data (instead of 01 it might be
   0000000000000100000000000000001 where most switches are turned
   off) and unlike their current von neumann architecture - which
   your computer uses.

   and that humans are drawn to the most complicated idea or thing
   they see or hear; as it contains the most dimensions
   (convergence of lines) - why us humans automatically look at the
   corners of a room first (where two walls and a ceiling meet) -
   from back in my days of cleaning; always clean the corners first
   - and now I understand why....

   The most complicated thing around us tends to get our attention
   first - and we can choose to accept it - or inhibit it; which is
   why ignoring a problem gives us a headache; it takes power to
   keep thinking about complicated things pushed back. And yeah -
   they're literally PUSHED BACK into the hippocampus.

   But they keep pushing forward into the two parts of the
   entorhinal cortex, which happens to be located behind your nasal
   cavity - which I believe is why we get a headache when too many
   things demand our attention at once; and the headache seems to
   be often around the forehead or behind your eyes.. I think
   that's where this brain structure is. It's where our
   anticipations of what we *expect* to be doing conflicts with
   what we *actually* encounter (screaming kids when we are trying
   to do taxes, two complicated things at once when deep down our
   expectation is that we don't deserve any of this crap and should
   be pampered and taken care of because we're special.... and the
   hippocampus keeps fighting with the two parts of the entorhinal
   cortex giving it all sorts of complcting information that it has
   to choose to ignore.

   I'm ignoring a lot of other brain circuitry that is *also*
   important; but my main focus is ''the present moment'' - and
   it's taken a year and a half of studying late at night to try to
   understand the present moment at as deep of a level that I
   ciould find.

   I'm still not done - and there's a lot I didn't do yet; but
   seeing IBM's ''brain on a chip'' gave me vindication for a lot
   of the ideas I came about the hard way and I felt one step
   closer to ''tying it all together''. For what purpose? Honestly,
   I don't know.