Abstract

Psychedelic drugs such as psilocybin, LSD and DMT are known to induce powerful alterations in phenomenology. Perhaps of most philosophical and scientific interest is their capacity to disrupt and even “dissolve” one of the most primary features of normal experience: that of being a self. Such “peak” or “mystical” experiences are of increasing interest for their potentially transformative therapeutic value. While empirical research is underway, a theoretical conception of the mechanisms underpinning these experiences remains elusive. In the following paper, psychedelic-induced ego-dissolution is accounted for within an active inference framework, as a collapse in the “temporal thickness” of an agent’s deep temporal model, as a result of lowered precision on high-level priors. The argument here is composed of three moves: first, a view of the self-model is proposed as arising within a temporally deep generative model of an embodied organism navigating an affordance landscape in the service of allostasis. Next, a view of the action of psychedelics as lowering the precision of high-level priors within the generative model is unpacked in terms of a high Bayesian learning rate. Finally, the relaxation of high-level priors is argued to cause a “collapse” in the temporal thickness of the generative model, resulting in a collapse in the self-model and a loss of the ordinary sense of being a self. This account has implications for our understanding of ordinary self-consciousness and disruptions in self-consciousness present in psychosis, autism, depression, and dissociative disorders. The philosophical, theoretical and therapeutic implications of this account are touched upon.

Highlights

  • Psychedelic (“mind-manifesting”) drugs are known to occasion radically altered states of consciousness, including profound changes in sensory perception, emoaUniversity of EdinburghDeane, G. (2020)

  • I initially furnish an account of self-modelling within active inference, where pre-reflective self-consciousness emerges in organisms as a consequence of “temporal thickness”, the need to model the consequences of potential actions over time (Friston, 2018)

  • I argue that low precision at high-levels of the inferential hierarchy results in a collapse of the temporal thickness of the generative model and the corresponding self-model, leading to the phenomenon known as ego-dissolution

Read more

Summary

Introduction

Psychedelic (“mind-manifesting”) drugs are known to occasion radically altered states of consciousness, including profound changes in sensory perception, emoaUniversity of Edinburgh. Dissolving the self: Active inference, psychedelics, and ego-dissolution. In this paper I propose a novel account of ego-dissolution within an active inference framework. To this end, I initially furnish an account of self-modelling within active inference, where pre-reflective self-consciousness emerges in organisms as a consequence of “temporal thickness”, the need to model the consequences of potential actions over time (Friston, 2018). I argue that low precision at high-levels of the inferential hierarchy results in a collapse of the temporal thickness of the generative model and the corresponding self-model, leading to the phenomenon known as ego-dissolution (see Limanowski & Friston, 2020, this issue)

The free energy principle
Predictive processing
Precision-weighting
Control-oriented inference
Homeostasis
Active inference
The self in active inference
Temporal thickness
Attuning to the world
Emotion
Hierarchically deep self-models
Psychedelics
Psychedelic therapy
Psychedelics in the predictive brain
Bayesian learning rate
Psychedelic action as high Bayesian learning rate
Evidence for the high Bayesian learning rate hypothesis
Psychedelic-induced ego-dissolution in active inference
Ecstatic ego-dissolution and challenging experiences
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call