Crossposted from opentheory.net
STV is Qualia Research Institute‘s candidate for a universal theory of valence, first proposed in Principia Qualia (2016). The following is a brief discussion of why existing theories are unsatisfying, what STV says, and key milestones so far.
I. Suffering is a puzzle
We know suffering when we feel it — but what is it? What would a satisfying answer for this even look like?
The psychological default model of suffering is “suffering is caused by not getting what you want.” This is the model that evolution has primed us toward. Empirically, it appears false (1)(2).
The Buddhist critique suggests that most suffering actually comes from holding this as our model of suffering. My co-founder Romeo Stevens suggests that we create a huge amount of unpleasantness by identifying with the sensations we want and making a commitment to ‘dukkha’ ourselves until we get them. When this fails to produce happiness, we take our failure as evidence we simply need to be more skillful in controlling our sensations, to work harder to get what we want, to suffer more until we reach our goal — whereas in reality there is no reasonable way we can force our sensations to be “stable, controllable, and satisfying” all the time. As Romeo puts it, “The mind is like a child that thinks that if it just finds the right flavor of cake it can live off of it with no stomach aches or other negative results.”
Buddhism itself is a brilliant internal psychology of suffering (1)(2), but has strict limits: it’s dogmatically silent on the influence of external factors on suffering, such as health, relationships, or anything having to do with the brain.
The Aristotelian model of suffering & well-being identifies a set of baseline conditions and virtues for human happiness, with suffering being due to deviations from these conditions. Modern psychology and psychiatry are tacitly built on this model, with one popular version being Seligman’s PERMA Model: P – Positive Emotion; E – Engagement; R – Relationships; M – Meaning; A – Accomplishments. Chris Kresser and other ‘holistic medicine’ practitioners are synthesizing what I would call ‘Paleo Psychology’, which suggests that we should look at our evolutionary history to understand the conditions for human happiness, with a special focus on nutrition, connection, sleep, and stress.
I have a deep affection for these ways of thinking and find them uncannily effective at debugging hedonic problems. But they’re not proper theories of mind, and say little about the underlying metaphysics or variation of internal experience.
Neurophysiological models of suffering try to dig into the computational utility and underlying biology of suffering. Bright spots include Friston & Seth, Panksepp, Joffily, and Eldar talking about emotional states being normative markers of momentum (i.e. whether you should keep doing what you’re doing, or switch things up), and Wager, Tracey, Kucyi, Osteen, and others discussing neural correlates of pain. These approaches are clearly important parts of the story, but tend to be descriptive rather than predictive, either focusing on ‘correlation collecting’ or telling a story without grounding that story in mechanism.
QRI thinks not having a good answer to the question of suffering is a core bottleneck for neuroscience, drug development, and next-generation mental health treatments, as well as philosophical questions about the future direction of civilization. We think this question is also much more tractable than people realize, that there are trillion-dollar bills on the sidewalk, waiting to be picked up if we just actually try.
II. QRI’s model of suffering – history & roadmap
What does “actually trying” to solve suffering look like? I can share what we’ve done, what we’re doing, and our future directions.
QRI.2016: We released the world’s first crisp formalism for pain and pleasure: the Symmetry Theory of Valence (STV)
QRI had a long exploratory gestation period as we explored various existing answers and identified their inadequacies. Things started to ‘gel’ as we identified and collected core research lineages that any fundamentally satisfying answer mustengage with.
A key piece of the puzzle for me was Integrated Information Theory (IIT), the first attempt at a formal bridge between phenomenology and causal emergence (Tononi et. al 2004, 2008, 2012). The goal of IIT is to create a mathematical object ‘isomorphic to’ a system’s phenomenology — that is to say, to create a perfect mathematical representation of what it feels like to be something. If it’s possible to create such a mathematical representation of an experience, then how pleasant or unpleasant the experience is should be ‘baked into’ this representation somehow.
In 2016 I introduced the Symmetry Theory of Valence (STV) built on the expectation that, although the details of IIT may not yet be correct, it has the correct goal — to create a mathematical formalism for consciousness. STV proposes that, given such a mathematical representation of an experience, the symmetry of this representation will encode how pleasant the experience is (Johnson 2016). STV is a formal, causal expression of the sentiment that “suffering is lack of harmony in the mind” and allowed us to make philosophically clear assertions such as:
- X causes suffering because it creates dissonance, resistance, turbulence in the brain/mind.
- If there is dissonance in the brain, there is suffering; if there is suffering, there is dissonance in the brain. Always.
This also let us begin to pose first-principles, conceptual-level models for affective mechanics: e.g., ‘pleasure centers’ function as pleasure centers insofar as they act as tuning knobs for harmony in the brain.
QRI.2017: We figured out how to apply our formalism to brains in an elegant way: CDNS
We had a formal hypothesis that harmony in the brain feels good, and dissonance feels bad. But how do we measure harmony and dissonance, given how noisy most forms of neuroimaging are?
An external researcher, Selen Atasoy, had the insight to use resonance as a proxy for characteristic activity. Neural activity may often look random— a confusing cacophony— but if we look at activity as the sum of all natural resonances of a system we can say a great deal about how the system works, and which configuration the system is currently in, with a few simple equations. Atasoy’s contribution here was connectome-specific harmonic waves (CSHW), an experimental method for doing this with fMRI (Atasoy et. al 2016; 2017a; 2017b). This is similar to how mashing keys on a piano might produce a confusing mix of sounds, but through applying harmonic decomposition to this sound we can calculate which notes must have been played to produce it. There are many ways to decompose brain activity into various parameters or dimensions; CSHW’s strength is it grounds these dimensions in physical mechanism: resonance within the connectome. (See also work by Helmholtz, Tesla, and Lehar.)
QRI built our ‘Consonance Dissonance Noise Signature’ (CDNS) method around combining STV with Atasoy’s work: my co-founder Andrés Gomez Emilsson had the key insight that if Atasoy’s method can give us a power-weighted list of harmonics in the brain, we can take this list and do a pairwise ‘CDNS’ analysis between harmonics and sum the result to figure out how much total consonance, dissonance, and noise a brain has (Gomez Emilsson 2017). Consonance is roughly equivalent to symmetry (invariance under transforms) in the time domain, and so the consonance between these harmonics should be a reasonable measure for the ‘symmetry’ of STV. This process offers a clean, empirical measure for how much harmony (and lack thereof) there is in a mind, structured in a way that lets us be largely agnostic about the precise physical substrate of consciousness.
With this, we had a full empirical theory of suffering.
QRI.2018: We invested in the CSHW paradigm and built ‘trading material’ for collaborations
We had our theory, and tried to get the data to test it. We decided that if STV is right, it should let us build better theory, and this should open doors for collaboration. This led us through a detailed exploration of the implications of CSHW (Johnson 2018a), and original work on the neuroscience of meditation (Johnson 2018b) and the phenomenology of time (Gomez Emilsson 2018).
QRI.2019: We synthesized a new neuroscience paradigm (Neural Annealing)
2019 marked a watershed for us in a number of ways. On the theory side, we realized there are many approaches to doing systems neuroscience, but only a few really good ones. We decided the best neuroscience research lineages were using various flavors of self-organizing systems theory to explain complex phenomena with very simple assumptions. Moreover, there were particularly elegant theories from Atasoy, Carhart-Harris, and Friston, all doing very similar things, just on different levels (physical, computational, energetic). So we combined these theories together into Neural Annealing (Johnson 2019), a unified theory of music, meditation, psychedelics, trauma, and emotional updating:
Annealing involves heating a metal above its recrystallization temperature, keeping it there for long enough for the microstructure of the metal to reach equilibrium, then slowly cooling it down, letting new patterns crystallize. This releases the internal stresses of the material, and is often used to restore ductility (plasticity and toughness) on metals that have been ‘cold-worked’ and have become very hard and brittle— in a sense, annealing is a ‘reset switch’ which allows metals to go back to a more pristine, natural state after being bent or stressed. I suspect this is a useful metaphor for brains, in that they can become hard and brittle over time with a build-up of internal stresses, and these stresses can be released by periodically entering high-energy states where a more natural neural microstructure can reemerge.
This synthesis allowed us to start discussing not only which brain states are pleasant, but what processes are healing.
QRI.2020: We raised money, built out a full neuroimaging stack, and expanded the organization
In 2020 the QRI technical analysis pipeline became real, and we became one of the few neuroscience groups in the world able to carry out a full CSHW analysis in-house, thanks in particular to hard work by Quintin Frerichs and Patrick Taylor. This has led to partnerships with King’s College London, Imperial College London, National Institute of Mental Health of the Czech Republic, Emergent Phenomenology Research Consortium, as well as many things in the pipeline. 2020 and early 2021 also saw us onboard some fantastic talent and advisors.
III. What’s next?
We’re actively working on improving STV in three areas:
- Finding a precise physical formalism for consciousness. Asserting that symmetry in the mathematical representation of an experience corresponds with the valence of the experience involves a huge leap in clarity over other theories. But we also need to be able to formally generate this mathematical representation. I’ve argued previously against functionalism and for a physicalist approach to consciousness (partially echoing Aaronson), and Barrett, Tegmark, and McFadden offer notable arguments suggesting the electromagnetic field may be the physical seat of consciousness because it’s the only field that can support sufficient complexity. We believe determining a physical formalism for consciousness is intimately tied to the binding problem, and have conjectures I’m excited to test.
- Building better neuroscience proxies for STV. We’ve built our empirical predictions around the expectation that consonance within a brain’s connectome-specific harmonic waves (CSHW) will be a good proxy for the symmetry of that mind’s formal mathematical representation. We think this is a best-in-the-world compression for valence. But CSHW rests on a chain of inferences about neuroimaging and brain structure, and using it to discuss consciousness rests on further inferences still. We think there’s room for improvement.
- Building neurotech that can help people. The team may be getting tired of hearing me say this, but: better philosophy should lead to better neuroscience, and better neuroscience should lead to better neurotech. STV gives us a rich set of threads to follow for clear neurofeedback targets, which should allow for much more effective closed-loop systems, and I am personally extraordinarily excited about the creation of technologies that allow people to “update toward wholesome”, with the neuroscience of meditation as a model.
People are asking for object-level justifications for the Symmetry Theory of Valence:
The first thing to mention is that the Symmetry Theory of Valence (STV) is *really easy to strawman*. It really is the case that there are many near enemies of STV that sound exactly like what a naïve researcher who is missing developmental stages (e.g. is a naïve realist about perception) would say. That we like pretty symmetrical shapes of course does not mean that symmetry is at the root of valence; that we enjoy symphonic music does not mean harmony is "inherently pleasant"; that we enjoy nice repeating patterns of tactile stimulation does not mean, well, you get the idea...
The truth of course is that at QRI we really are meta-contrarian intellectual hipsters. So the weird and often dumb-sounding things we say are already taking into account the criticisms people in our people-cluster would make and are taking the conversation one step further. For instance, we think digital computers cannot be conscious, but this belief comes from entirely different arguments than those that justify such beliefs out there. We think that the "energy body" is real and important, except that we interpret it within a physicalist paradigm of dynamic systems. We take seriously the possible positive sum game-theoretical implications of MDMA, but not out of a naïve "why can't we all love each other?" impression, but rather, based on deep evolutionary arguments. And we take seriously non-standard views of identity, not because "we are all Krishna", but because the common-sense view of identity turns out to, in retrospect, be based on illusion (cf. Parfit, Kolak, "The Future of Personal Identity") and a true physicalist theory of consciousness (e.g. Pearce's theory) has no room for enduring metaphysical egos. This is all to say that straw-manning the paradigms explored at QRI is easy; steelmanning them is what's hard. Can anyone here make a Titanium Man out of them instead? :-)
Now, I am indeed happy to address any mischaracterization of STV. Sadly, to my knowledge nobody outside of QRI really "gets it", so I don't think there is anyone other than us (and possibly Scott Alexander!) who can make a steelman of STV. My promise is that "there is something here" and that to "get it" is not merely to buy into the theory blindly, but rather, it is what happens when you give it enough benefit of the doubt, share a sufficient number of background assumptions, and have a wide enough experience base that it actually becomes a rather obvious "good fit" for all of the data available.
For a bit of history (and properly giving due credit), I should clarify that Michael Johnson is the one who came up with the hypothesis in Principia Qualia (for a brief history see: STV Primer). I started out very skeptical of STV myself, and in fact it took about three years of thinking it through in light of many meditation and exotic high-energy experiences to be viscerally convinced that it's pointing in the right direction. I'm talking about a process of elimination where, for instance, I checked if what feels good is at the computational level of abstraction (such as prediction error minimization) or if it's at the implementation level (i.e. dissonance). I then developed a number of technical paradigms for how to translate STV into something we could actually study in neuroscience and ultimately try out empirically with non-invasive neurotech (in our case, light-sound-vibration systems that produce multi-modally coherent high-valence states of consciousness). Quintin Frerichs (who gave a presentation about Neural Annealing to Friston) has since been working hard on the actual neuroscience of it in collaboration with Johns Hopkins University, Daniel Ingram, Imperial College and others. We are currently testing the theory in a number of ways and will publish a large paper based on all this work.
For clarification, I should point out that what is brilliant (IMO) about Mike's Principia Qualia is that he breaks down the problem of consciousness in such a way that it allows us to divide and conquer the hard problem of consciousness. Indeed, once broken down into his 8 subproblems, calling it the "hard problem of consciousness" sounds as bizarre as it would sound to us to hear about "the hard problem of matter". We do claim that if we are able to solve each of these subproblems, that indeed the hard problem will dissolve. Not the way illusionists would have it (where the very concept of consciousness is problematic), but rather, in the way that electricity and lightning and magnets all turned out to be explained by just 4 simple equations of electromagnetism. Of course the further question of why do those equations exist and why consciousness follows such laws remains, but even that could IMO be fully explained with the appropriate paradigm (cf. Zero Ontology).
The main point to consider here w.r.t. STV is that symmetry is posited to be connected with valence at the implementation level of analysis. This squarely and clearly distinguishes STV from behaviorist accounts of valence (e.g. "behavioral reinforcement") and also from algorithmic accounts (e.g. compression drive or prediction error minimization). Indeed, with STV you can have a brain (perhaps a damaged brain, or one in an exotic state of consciousness) where prediction errors are not in fact connected to valence. Rather, the brain evolved to recruit valence gradients in order to make better predictions. Similarly, STV predicts that what makes activation of the pleasure centers feel good is precisely that doing so gives rise to large-scale harmony in brain activity. This is exciting because it means the theory predicts we can actually observe a double dissociation: if we inhibit the pleasure centers while exogenously stimulating large-scale harmonic patterns we expect that to feel good, and we likewise expect that even if you activate the pleasure centers you will not feel good if something inhibits the large-scale harmony that would typically result. Same with prediction errors, behavior, etc.: we predict we can doubly-dissociate valence from those features if we conduct the right experiment. But we won't be able to dissociate valence from symmetry in the formalism of consciousness.
Now, of course we currently can't see consciousness directly, but we can infer a lot of invariants about it with different "projections", and so far all are consistent with STV:
Of especial note, I'd point you to one of the studies discussed in the 2020 STV talk: The Human Default Consciousness and Its Disruption: Insights From an EEG Study of Buddhist Jhāna Meditation. It shows a very tight correspondence between jhanas and various smoothly-repeating EEG patterns, including a seizure-like activity that unlike normal seizures (of typically bad valence) shows up as having a *harmonic structure*. Here we find a beautiful correspondence between (a) sense of peace/jhanic bliss, (b) phenomenological descriptions of simplicity and smoothness, (c) valence, and (d) actual neurophysiological data mirroring these phenomenological accounts. At QRI we have similarly observed something quite similar studying the EEG patterns of other ultra-high-valence meditation states (which we will hopefully publish in 2022). I expect this pattern to hold for other exotic high-valence states in one way or another, ranging from quality of orgasm to exogenous opioids.
Phenomenologically speaking, STV is not only capable of describing and explaining why certain meditation or psychedelic states of consciousness feel good or bad, but in fact it can be used as a navigation aid! You can introspect on the ways energy does not flow smoothly, the presence of blockages and pinch points make it reflect in discordant ways, or zone in on areas of the "energy body" that are out of synch with one another and then specifically use attention in order to "comb the field of experience". This approach - the purely secular climbing of the harmony gradient leads all of its own to amazing high-valence states of consciousness (cf. Buddhist Annealing). I'll probably make a video series with meditation instructions for people to actually experience this on themselves first hand. It doesn't take very long, actually. Also, STV as a paradigm can be used in order to experience more pleasant trajectories along the "Energy X Complexity landscape" of a DMT trip (something I even talked about at the SSC meetup online!). In a simple quip, I'd say "there are good and bad ways of vibing on DMT, and STV gives you the key to the realms of good vibes" :-)
Another angle: we can find subtle ways of dissociating valence from e.g. chemicals: if you take stimulants but don't feel the nice buzz that provides a "working frame" for your mental activity, they will not feel good. At the same time, without stimulants you can get that pleasant productivity-enhancing buzz with the right tactile patterns of stimulation. Indeed this "buzz" that characterizes the effects of many euphoric drugs (and the quality of e.g. metta meditation) is precisely a valence effect, one that provides a metronome to self-organize around and which can feel bad when you don't follow where it takes you. Literally, one of the core reasons why MDMA feels better than LSD which feels better than DOB is precisely because the "quality of the buzz" of each of these highs is different. MDMA's buzz is beautiful and harmonious; DOB's buzz is harsh and dissonant. More so, such a buzz can work as task-specific dissonance guide-rails, if you will. Meaning that when you do buzz-congruent behaviors you feel a sense of inner harmony, whereas when you do buzz-incongruent behaviors you feel a sense of inner turmoil. Hence what kind of buzz one experiences is deeply consequential! All of this falls rather nicely within STV - IMO other theories need to keep adding epicycles to keep up.
Hopefully this all worked as useful clarifications.