Thursday, October 14, 2021

Your Brain is a Prediction Machine


AKA Your Brain on Music

First, some sound tech:
Surround sound from lightweight roll-to-roll printed loudspeaker paper
Jan 2021, phys.org

Sonorous paper loudspeakers: "Ordinary paper or foils are printed with two layers of a conductive organic polymer as electrodes. A piezoelectric layer is sandwiched between them as the active element, which causes the paper or film to vibrate. Loud and clear sound is produced by air displacement.

via Chemnitz University of Technology: Georg C. Schmidt et al. Paper‐Embedded Roll‐to‐Roll Mass Printed Piezoelectric Transducers, Advanced Materials (2021). DOI: 10.1002/adma.202006437


Next, some music science:
Hit songs rely on increasing “harmonic surprise” to hook listeners, study finds
Aug 2021, Ars Technica

The end result is what the authors call "Inflationary-Surprise Hypothesis," which makes music (and all art, and all culture we would assume) to have more surprise over time. And so if you're kind of old, and you think the music of today sucks, and it's annoying, stupid, and makes no sense, then you're probably right. 

In other words, when a song "constantly defies the listener's expectations throughout", that's what you want to hear. Or, from the paper itself, you could say "human perception of tonality is influenced by exposure."

We heard this a long time ago when Leonard Meyer said it --

"A culture, like a musical style, is a learned probability system.” (p17, footnote 21)
-Music, the Arts and Ideas. Leonard B. Meyer, U. of Chicago, 1967

Or take a look at this infographic, titled The Anatomy of a Joke.

What to Expect When the Unexpected Becomes Expected: Harmonic Surprise and Preference Over Time in Popular Music. Front. Hum. Neurosci., 30 April 2021. https://doi.org/10.3389/fnhum.2021.578644


And more of the same:
The brain's 'prediction machine' anticipates the future when listening to music
Aug 2021, phys.org

When a musical phrase has an unresolved or uncertain quality about it our brains automatically predict how the melody will end. ... Like a sentence, a musical phrase is a coherent and complete part of a larger whole, but it may end with some uncertainty about what comes next in the melody. The new research shows that listeners use these moments of uncertainty, or high entropy, to determine where one phrase ends and another begins. ... The participants judged melodies that ended on high-entropy tones to be more complete—and lingered on them longer.

"This study shows that humans harness the statistical properties of the world around them not only to predict what is likely to happen next, but also to parse streams of complex, continuous input into smaller, more manageable segments of information," said Hansen.

via Association for Psychological Science: Niels Chr. Hansen et al, Predictive Uncertainty Underlies Auditory Boundary Perception, Psychological Science (2021). DOI: 10.1177/0956797621997349

For your listening pleasure:
Music Circles: An interactive data visualization tool that helps users discover new music
Mar 2021, phys.org

It's an advanced music recommendation system. Try it out, called Music Circles:

via Seoul National University: Music-Circles: can music be represented with numbers? arXiv: 2102.13350 [cs.HC]. arxiv.org/abs/2102.13350


Post Script:
Taylor Swift releases a 'perfect replica' of Fearless
Apr 2021, BBC News

Up to now, I thought Taylor Swift was a good musician but more importantly a good young female role model because she handles her celebrity status so well. Now she's in the pantheon of powerful and middle-finger-wielding artists because she straight re-mastered her master copies to fuck her record owners and take back control of her own work.  

If you're not sure why this is such a big deal, see David Byrne's How Music Works (2012) for a good intro to the world of musicians, their music and their rights. 

When you make a song, and then someone uses that song in the opening scene of their superfamous blockbuster movie, somebody gets paid, but it might not be you. It depends who owns the "master copy" of that song. Even if you play your own song live, and record that, and use that in a commercial or movie, it's still the "original" master copy that gets the credit, and the money. Somebody recorded that song in a music studio and made a physical copy of the recording. The music is ephemeral and nobody can own that. The idea for the song even moreso. But that recording, on that day, in that studio, is a physical thing, and it represents all the ephemera that come after, so whoever owns the master, owns it all. 

Swift's re-mastering makes the old master copies worthless, and puts her in full control of her own work, something that rarely happens to an artist as big as her. 

Thursday, October 7, 2021

The Disease Model


That's what they call it -- Susceptible, Infected, Recovered. Disease transmission follows a fairly predictable pattern, just ask the covid epidemiologists.


It's about the way things spread within a network; nodes and links. Throw some complexity science in there, and you can model a pretty good simulation of waves of infection, where they spread, how fast. 

But it's not just diseases, which are spread by physical particles floating through the air. Behaviors follow the disease model too, and ideas, and preferences and tastes. They're spreading through people, just like diseases.

That's getting into the science of memetics though. For now, let's keep it more simple than that -- think about how you started using social media, what was your first account and who got you into it, what social networks were you a part of then?

You were being infected.

Honestly I won't even repaste any of this paper, because it does come from the Mechanical and Aerospace Engineering department, which seems weird for a paper about disease modeling. But it is from Princeton, and that department does cover some pretty crazy stuff, and some of it is partially related. It concluded that Facebook is going through humans like a wave of the Delta variant, but at the same time, losing the people who recover from the disease. They said there won't be anyone left by 2018, because everyone's either still infected, or been recovered. (Luckily for Facebook, bots are infinite!)

And would you look at that, here's Facebook being called out for misleading investors by blending their actual user numbers with those of their Single Users with Multiple Accounts, i.e., among other things, the botnet.

But long before this information was divulged under congressional testimony circa 2021, this paper, from 2014, and generated from even earlier discussions at a 2012 research symposium, predicted this already -- they followed the disease model on a social network. It makes you wonder why there weren't other studies like it:

Epidemiological modeling of online social network dynamics, John Cannarell, Joshua A. Spechler. Department of Mechanical and Aerospace Engineering, Princeton University. arxiv:1401.4208v1 [cs.SI] 17 Jan 2014. https://arxiv.org/pdf/1401.4208v1.pdf
 
Think about the last few songs you downloaded (do people still?). Where did you hear them, from who?

They infected you.

Music download patterns found to resemble infectious disease epidemic curves
Sep 2021, phys.org

"The researchers found that downloads from the site very much matched patterns of diseases spreading. With infectious diseases, one-to-one contact is needed. With songs...hundreds of people might respond by downloading it." -link

"We draw conclusions about song popularity within specific genres based on estimated SIR parameters. In particular, we argue that faster spread of preferences for Electronica songs may reflect stronger connectivity of the ‘susceptible community’, compared with the larger and broader community that listens to more common genres." -link

via McMaster Institute for Music and the Mind in Canada: Dora P. Rosati et al, Modelling song popularity asacontagious process, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences (2021). DOI: 10.1098/rspa.2021.0457

Even ideas can be infectious. They're reproducing in our minds, after all. Memetically transmitted diseases, following the S-I-R model. Dairying was an idea that changed the genome of a lot of humans. And olfactory receptors make up the biggest family of your genome, like 2%, and they're changing all the time, and sometimes because of cultural reasons, like bacon. 

Probably the greatest example of an idea being infectious is the idea against vaccinations, because technically, under the memetic paradigm, the virus, any virus whether measles, covid, or syphilis, is figuring out how to fight the scientific advancement of vaccinations by infecting our minds with antivax thoughts -- they're evolving in more ways than one! (See below for more on this, but be careful, you may want to inoculate your brain first.)

Post Post:
If you're into this topic, prepare to go deep, very deep:
Adaptive Metamemetics, Infectious Disease Networks, and Ludwig Fleck's Thought Collectives
March 2020, Network Address

I had no idea how prescient this would be when I wrote it, but studying Ludwig Fleck prior to a global vaccination campaign wasn't a bad idea.

Post Post Script:
They don't say it but I will, claim of memetic supremacy right here:
[I call it Memetic Supremacy] Parity and time reversal elucidate both decision-making in empirical models and attractor scaling in critical Boolean networks. via Pennsylvania State University, Broad Institute, Dana-Farber Cancer Institute, Semmelweis University, and Center for Complex Network Research. Science Advances (2021). https://advances.sciencemag.org/lookup/doi/10.1126/sciadv.abf8124