A Mathematical Theory for Why People Hallucinate
quantamagazine.org
A Mathematical Theory for Why People Hallucinate
1–10 of 46 posts
Re: A Mathematical Theory for Why People Hallucinate
#2Re: A Mathematical Theory for Why People Hallucinate
#3Re: A Mathematical Theory for Why People Hallucinate
#4I see spirals every time I meditate. I find it interesting the suggestion that meditation allows more random noise into my neurons.
It feels very similar to the dream state where the content usually has clear connections to my real life but is randomized just enough to produce some odd effects.
In the end, understanding dreams or hallucinations feels like interpreting art to me.
Re: A Mathematical Theory for Why People Hallucinate
#5Re: A Mathematical Theory for Why People Hallucinate
#6How do we know that reality itself isn't a mass hallucination?
Re: A Mathematical Theory for Why People Hallucinate
#7I've held this theory on my own after experiencing geometric shapes while hallucinating after smoking a lot of marijuana years back. I sat down closed my eyes and experienced an intense feeling of flying through what I can only explain as the starfield screen saver from Windows but with colored 2D shapes heavily dominated by hexagons of various sizes. During that experience I realized that I might be experiencing the…
Re: A Mathematical Theory for Why People Hallucinate
#8How do we know that reality itself isn't a mass hallucination?
Re: A Mathematical Theory for Why People Hallucinate
#9I underwent some very serious periods of sleep deprivation (Army) and our 'hallucinations' were of a totally different kind: having conversations with people that were not there, seeing things that were not there, misidentifying people whom you know really well who are right on front of your face, taking on different personalities etc..
Re: A Mathematical Theory for Why People Hallucinate
#10The "Google deep dream" look very... acidic to me, but there were deliberately induced by reinforcing a particular signal. But I wouldn't be surprised to get similar effects by adding noise to the proper type of neural network.