My new meta-theory of meditation! I’ve been incubating on this for about five years. It all began when I measured my own brain during my postdoc in 2021. I was setting up a decoding pipeline for an EEG experiment, which was working extraordinarily well. On my brain, I could decode sounds from EEG activity near ceiling (~0.9 AUC). But then, when I ran the same experiment on other participants, the best I got was an AUC of 0.62. Why that happened haunted me for literally years. Then one day, I realized what the difference was. The difference was that, during data collection, I was meditating. Because that was something I just naturally did when sitting still and listening to sounds. I was intently focused on the sounds I was hearing, with an otherwise empty mind. So my brain was also focused and clear. And therefore, easy to decode. It’s pretty obvious in hindsight. So then I tested this on some existing preliminary data, and low and behold, participants during meditation showed better sound decoding than participants not. Now I just needed to figure out the mechanism and run a hypothesis-driven experiment. How does meditation translate to clearer neural signals? Well, think about how any basic meditation practice works. You selectively enhance some aspect of experience (i.e., signal), be it your breath, a mantra, the body, or awareness itself. You also selectively declutter or “let go” some other aspect, such as self-centred rumination and other pointless neuroses (i.e., noise). You enhance a present-moment signal and you release the noise. So a clear mind ought to be reflected in the brain’s signal to noise ratio and this makes the brain more decodable! If your intentions are clear; so is your brain. It better tracks the input. It better mirrors the world. The implications are fascinating. One surprising consequence is that the future of brain-interfaces might depend on the capacity to meditate. Because you can’t decode a brain that’s noisy. So being able to control machines with your mind might one day depend on your capacity to enact a clear mind. One of the most cited papers in the field famously criticized meditation for claiming to be a panacea. And yet, there is reason to believe that meditation is at least panacea-like, given it’s unusually broad applications for psychopathology and beyond. Why is that? Well, according to the present theory, the reason meditation is so generalizable is because many psychopathologies can be linked to poor neural f-SNR (think, obsessions, depressive rumination, anxious worrying, delusional thinking, etc.). Most of the things we suffer is a consequence of us losing touch with the signal manifold. We get absorbed in our self-generated ignorance; lost in the endogenous noise of our own creation. The second arrow. If we learn to practice mindfulness, for example, we begin to be able to agnatically select how much abstraction is appropriate for the moment. We begin to be able to skilfully traverse the hierarchy of the mind according to the demands of the present; letting go activity that hinders our ability to see clearly. But what about deeper insights? The more advanced practices and realizations we encounter in meditation can be framed as removing pervasive channels of noise driven by aberrant priors, e.g., those comprising a rigid self-model. There are entrenched habits in our minds that consistently warp our more direct experience with layers and layers of confusion. Potentially, unraveling these maladaptive priors through insight is like wiping a thick layer of grime from a mirror that has quietly distorted every reflection, allowing the whole field of experience to become clearer at once. Perhaps, then, awakening is a dramatic change in the generative model that leads to a non-linear boost in the brain’s signal-to-noise. This would go a long way in explaining the profound clarity that accompanies such shifts. The paper also provides extensive tools for objectively measuring a clear mind. We already have strong evidence that the SNR indicators reflect meditation depth better than both traditional linear and non-linear metrics (see comments). And here’s a really cool bonus finding: The meditative posture may act as a kind of inner neurofeedback device. The careful posture we maintain during meditation enacts a sensorimotor error-correction loop, signalling through prediction errors when the mind fails to track the present moment. A slumping posture reveals you’re in noisy territory (e.g., mindwandering), alerting the mind to return to the signal when bodily alignment falters. Empirical evidence, figures, and more below. Special thanks to @mihir_nath_ for spearheading the empirical work on meditation and the brain's SNR. Read the full paper: arxiv.org/pdf/2606.29698

Insight as a toy model for mystical experiences. Our new paper shows how Aha!, insight, Eureka, and mystical experiences can be modelled as realizations varying in intensity and size of the network affected. A small Aha! might restructure a local problem representation, whereas a mystical experience destabilizes a much larger self/world model.