I am insatiably curious about the topic of "accelerated learning".
Think about that scene in the matrix where trinity downloads the skill of how to fly a helicopter into her brain in a few seconds. :)
By "accelerated learning", I mean committing new information to long term memory in a highly recallable fashion with maximum efficiency - i.e. minimum time.
I believe that developing the optimal accelerated learning algorithm requires a deep understanding of how the brain actually learns (at the level of neurons and synapses).
It is from this perspective, that I am considering these 2 "modes" of the brain called "focused mode" and "diffused mode".
I would like to state my intuition about how these 2 modes are used by the brain to learn and then have someone more knowledgeable than I tell me where I am wrong. Or perhaps improve the explanation.
My intuition is that "diffused mode" is about making associations.
i.e. Noticing how things are similar.
When we learn something new, we try to associate it to something we already know.
Like maybe when you see a pomelo for the first time, you might associate it to a grapefruit.
My intuition is that "focused mode" is about making discernments. i.e. Noticing how things are different.
For example, a pomelo is different than a grapefruit in several ways:
It's inner skin is thicker.
I think the process of learning the concept of "pomelo" then involves refining a "sparse distributed representation" of the object in the brain.
A "sparse distributed representation" is just a bunch of neurons that fire together to signify the thought of a unique concept.
So learning involves starting with a sparse distributed representation for an existing concept that we are familiar with, and then making changes to that representation via discernment until we have a new unique "sparse distributed representation" for our new concept.
Is this correct?