To expand on this, current leading theory (predictive processing) says that brain first generates a visual image then confirms it with inputs and if there’s no input to confirm/deny the halucination it’s just accepted as is. So we can have a whole load of blind spots in all of our sensors and continue functioning rather well with an ocassional artifact.
I think about this at night when my eyes are forced to attempt to make sense of the low light levels in a dark room. I know my room isn’t grainy and grey-scale - that’s just the best my eyes and brain can do at night. It’s interesting to look around and try to imagine the proper colors and shapes of things, reckoning the difference between what I know and what I see in the moment.
With our brains constantly making things up to explain gaps in information, it’s no wonder kids think they see “monsters” in the dark. It’s also no wonder that nightlights work well to keep said “monsters” away.
To expand on this, current leading theory (predictive processing) says that brain first generates a visual image then confirms it with inputs and if there’s no input to confirm/deny the halucination it’s just accepted as is. So we can have a whole load of blind spots in all of our sensors and continue functioning rather well with an ocassional artifact.
I think about this at night when my eyes are forced to attempt to make sense of the low light levels in a dark room. I know my room isn’t grainy and grey-scale - that’s just the best my eyes and brain can do at night. It’s interesting to look around and try to imagine the proper colors and shapes of things, reckoning the difference between what I know and what I see in the moment.
With our brains constantly making things up to explain gaps in information, it’s no wonder kids think they see “monsters” in the dark. It’s also no wonder that nightlights work well to keep said “monsters” away.
AI witchhunting crowd hates this one simple trick !