Thread 126847502 - /mu/ [Archived: 872 hours ago]

Anonymous
6/28/2025, 4:28:35 AM No.126847502
1751077679691
1751077679691
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7 years ago, I wrote down a lot of drug-induced schizo amateur theories about music and neurological foundations of musical perception and enjoyment and forgot about them

I re-discovered the notes today and read them and most of the theories sound likely to be correct, and were pretty much corroborated by later research

Much of it was inspired by research I had read at the time about dopaminergic reward prediction error and "fractalized surprise" (layered surprise and meta-surprise at different scales/categories) and the importance of the behavior of dopaminergic neurons over the dopamine molecule itself, so I wasn't going off of nothing, but I'm surprised at how coherent I sounded despite it truly being grandiose schizo rambling and the fact I had zero knowledge of music theory or neuroscience

I failed to turn any of those ideas into clear insights about how to create good music, so it's ultimately useless, but I still wonder if maybe there is something in there that could lead to such insights
Replies: >>126847527 >>126847533
Anonymous
6/28/2025, 4:31:54 AM No.126847527
10914876-1392368003-72002 copy
10914876-1392368003-72002 copy
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>>126847502 (OP)
Anonymous
6/28/2025, 4:32:25 AM No.126847533
>>126847502 (OP)
>and were pretty much corroborated by later research
Nothing you mentioned is novel anon. Musical psychology as a discipline is older than you are
Replies: >>126847631
Anonymous
6/28/2025, 4:43:05 AM No.126847631
>>126847533
I know the field itself isn't novel, but my specific ideas either were, or at least were independently generated. My focus was on the neurology rather than the psychology, regarding how (ostensible) frequencies of neuron firing patterns contribute to musical appreciation when playing with reward prediction error homeostasis (dopamine neurons altering firing threshold baselines in response to prediction and surprise)

https://deepmind.google/discover/blog/dopamine-and-temporal-difference-learning-a-fruitful-relationship-between-neuroscience-and-ai/

This podcast later confirmed some of my thoughts: https://youtu.be/kPaSqUAxF3M