Very often, you find yourself, filled with various thoughts on disparate subjects, unrelated to each other, but all related to you. You are suddenly, the center of them.
Much like how they’ve shown in new movie Inception, ie when you in the middle of your dream, all the attention of the random folks are placed on you. You feel like everybody is looking at you.
Pretty scary, isn’t it?!
Well, sometimes, you consciously pick one of the thought thread and follow it, typically this is when physiologically you are trying to concentrate, and it just so happens that the harder you try to follow, the harder it becomes to catch it, and ultimately you end up losing the thought.
Not a very uncommon phenomenon. Happens when you try to remember a dream, happens when you try to recall the idea that struck and got lost, happens when you can recall everything but the name of person you are shaking your hands with, happens when you remember the feeling of thought but not the thought itself. Happens quite to a bit, so to speak.
Now why does this happen. Brain biology suggests, brain is made up of neurons, exchanging information over neurotransmitters in form on electrical impulses. Neurons are connected in the form of graph. Thoughts are stored in memory, in the form of these neuro-circuits. Brain as efficient as it is, keeps optimizing the circuits, ie. keeps only the ones it thinks, we’ll need. The decision is made by no. of incoming connections it has, you know, much like the Google’s pagerank. The lifetime of the memory of this thought can be determined by this no. of connected memories you have.
But still, that does not answer why you remember everything about the person, but just forgot the name, or lose the exact information you were most after, and know everything else, in a particular spur of a moment. The question, if asked differently, could, did you lose the thought forever, or just couldn’t when it was most needed, consciously. My argument here would be that you didn’t really lose it, your recall function in the brain just couldn’t perform well against time you gave it, in other words, in network programming semantics it timed out – doesnt’ mean the data was not found, it was just not found within the time frame you wanted it.
Now, if you understand and consciously agree to this, then you can potentially train your brain to handle this situation in a few different ways –
1. Ofcourse best case would be, to optimize the recall function, so it doesn’t take that much of a time, to end up in a time out. Now that would require you to better organize data which helps recall. – so enrich the data you’ll later want to remember with a lot of additional details, like sensory data or data collected by sensory perceptors (eyes, ears, skin), like
- visual, for example pictures (which is literally most rich dataset individually for brain),
- audio, sound typically not noise
- smell, if there is any.
Additional dimension of data makes the path to reach your thought or memory node shorter and stronger due the weight on the nodes.
2. Set a higher timeout. (Remember it can’t be a blocking operation, it would eventually time out). Means, condition of brain to wait, relax a bit try to slowly recall, gather data around it and gazing in.
3. Make the recall, asynchronous, so it does not time out. Means remove the urgency of the need of data, and check back often (poll), if you remember. More often than not, you’ll realize that you can.
You’ll notice an uncanny resemblance of brain functions and computer science, its no coincidence. If you think deep enough, you’ll see an uncanny resemblance between any of the practical concepts of the worlds to the brain functions, as everything as we see or experience, is a product of perceptions we gather over time, and store in brain. What goes in, comes out.
With computer science a more direct resemblance exists, as the Computer science is an instance of the partially known template of brain.While a computer is an instance of known Computer science. Once the partials would be complete, we’ll be able to manufacture brain.