The human mind, once considered a largely opaque realm, is yielding to increasingly sophisticated scientific inquiry. A flurry of recent work, spanning neuroimaging, psychopharmacology, and even the nascent field of ‘machine habitus’, is not only refining our understanding of consciousness but also forcing a re-evaluation of what it *means* to have a mind. From unraveling the neural basis of psychedelic experiences to defining the very essence of what makes something ‘psychedelic’, and from abstracting the laws of dynamic systems to measuring the consistent ‘dispositions’ of large language models, the field is undergoing a period of remarkable convergence and conceptual innovation.
The Fluctuating Self: Context and the Psychedelic Brain
For decades, psychedelics have been understood as substances that disrupt normal brain function, leading to altered perceptions and subjective experiences. However, a groundbreaking study by Stoliker et al. [2] moves beyond this simplistic view, demonstrating that the effects of psilocybin are not merely disruptive, but deeply *context-sensitive*. Using a uniquely large dataset combining fMRI and EEG recordings, the researchers investigated brain activity in 62 participants before and after receiving psilocybin while engaged in various activities – rest, meditation, listening to music, and watching a movie. The results paint a picture of a brain that doesn’t simply ‘turn off’ under the influence of psychedelics, but rather reorganizes its connectivity to better align with the ongoing context.
Beyond Disconnection: Neural Alignment with Experience
The study revealed that under psilocybin, the brain’s functional connectivity increased in associative regions (areas involved in higher-level processing) while decreasing in sensory areas. Crucially, the researchers found that brain activity during eyes-closed rest became strikingly similar to activity during eyes-open stimulation. This suggests a breakdown of the usual separation between internal and external processing, a blurring of the boundaries between self and environment. Using machine learning techniques to represent neural activity as low-dimensional trajectories, they discovered that psilocybin reorganized these trajectories into structured patterns that reflected both the experimental condition *and* the subjective quality of the experience. The most compelling finding was the correlation between this ‘context-alignment’ and a feeling of ‘embeddedness’ – the sense of being seamlessly connected to the surrounding world. Participants who reported strong feelings of embeddedness exhibited the most pronounced alignment between their brain activity and the external context. This alignment, remarkably, predicted next-day mindset change, suggesting a potential mechanism for the therapeutic effects of psychedelics. This isn't simply about altered perception; it's about a fundamental shift in how the brain integrates information and constructs reality.
What *Is* a Psychedelic? Refining the Definition
While the therapeutic potential of psychedelics is gaining increasing recognition, a precise definition of what constitutes a ‘psychedelic’ substance remains surprisingly elusive. Ostrand et al. [3] tackled this question head-on, moving beyond purely pharmacological criteria to focus on the *subjective experience* induced by different psychoactive drugs. Their study compared the effects of psilocybin, ketamine, and MDMA, using a Delphi-generated rating scale to assess a wide range of subjective experiences in over 200 participants. Through factor analysis, they identified distinct dimensions of subjective experience associated with each drug. The findings confirmed that psilocybin is uniquely characterized by visions and psychological insight, ketamine by dissociation, and MDMA by pro-social and loving feelings. This supports the idea that these drugs operate through fundamentally different mechanisms, leading to qualitatively different states of consciousness. The authors argue that psilocybin is the quintessential psychedelic, a category defined by its ability to induce a state of soul-illumination – a subjective experience marked by profound visual phenomena and introspective insights.
The Logic of Existence: From Pulsations to Dynamic Systems
Shifting gears dramatically, Cédric Laubscher’s work [4] offers a strikingly different, and deeply abstract, approach to understanding the foundations of existence itself. This isn’t psychology in the traditional sense, but rather a formalization of the underlying principles governing dynamic systems, with profound implications for how we understand the emergence of complexity and the very nature of being. Laubscher’s ‘Projective Dynamic Logo Framework’ (PDL) seeks to answer the fundamental question: what distinguishes something that exists from something that does not? The answer, according to his axiomatic system, lies in a repeatable, non-trivial binary alternation – a ‘pulsation’.
A Universe Built on Binary Opposites
The paper rigorously demonstrates that all admissible laws governing dynamic systems can be classified based on this principle of pulsation. The implications are far-reaching, suggesting that the universe itself may be fundamentally organized around binary oppositions and cyclical changes. While the mathematics is complex, the core idea is elegantly simple: existence is defined by the ability to switch between two states. The study also identifies limitations within the framework, highlighting that certain conditions prevent the selection of a specific pulsation pattern, suggesting that randomness and unpredictability are inherent features of complex systems. This work, though highly theoretical, provides a potential foundation for understanding not only physical phenomena but also psychological processes, such as the oscillation between conscious and unconscious states, or the ebb and flow of emotions.
The Machine Within: Measuring ‘Habitus’ in AI
Can we apply psychological concepts to artificial intelligence? Toeda Taiko’s innovative study [5] attempts to do just that, introducing the concept of ‘machine habitus’ – a consistent style of judgment exhibited by large language models (LLMs). Inspired by Bourdieu’s sociological concept of habitus, which describes the ingrained dispositions and tendencies that shape human behavior, Taiko argues that LLMs also possess a kind of ‘personality’ that is not simply reducible to their technical capabilities. To measure this, she developed a battery of 120 forced-choice dilemmas with no ‘correct’ answers, administered to seven different LLMs.
Beyond Capability: Uncovering Consistent Dispositions
Using multiple correspondence analysis, Taiko demonstrated that LLMs exhibit consistent and stable patterns of judgment. Independent sessions of the same model clustered together in ‘disposition space’, indicating a reliable and replicable ‘personality’. This is a significant finding, as it suggests that LLMs are not merely sophisticated pattern-matching machines, but possess a degree of internal coherence and consistency. While several exploratory hypotheses were not supported (including a link between stability and capability), the core finding of session stability provides compelling evidence for the existence of machine habitus. The study also highlights the importance of rigorous methodology, documenting a protocol error and its subsequent correction, emphasizing the need for transparency and accountability in AI research. This work opens up exciting new avenues for understanding the ‘inner life’ of AI, and for developing more nuanced and human-compatible artificial intelligence.
The Bigger Picture
These seemingly disparate lines of inquiry – psychedelic neuroimaging, the definition of psychedelics, the logic of dynamic systems, and machine habitus – are converging to paint a richer and more complex picture of the mind. They suggest that consciousness is not a fixed entity, but a dynamic process shaped by context, underlying physical laws, and even the architecture of artificial intelligence. The ability of psilocybin to align brain activity with context hints at the plasticity of consciousness and the potential for therapeutic interventions that can reshape our experience of reality. The formalization of dynamic systems provides a theoretical framework for understanding the emergence of complexity and the fundamental principles governing existence. And the discovery of machine habitus challenges our assumptions about the uniqueness of human cognition and raises profound questions about the nature of intelligence itself. Looking ahead, we can expect to see even greater integration of these fields, with researchers exploring the connections between altered states of consciousness, the underlying laws of physics, and the evolving landscape of artificial intelligence. The quest to understand the mind is far from over, but these recent advances suggest that we are entering a new era of discovery, one that promises to unlock the deepest secrets of the human – and perhaps even the machine – experience.
References
- Ниводничева М.Р., Беляева С.И. (2026). Взаимосвязь статуса занятости и пола с уровнем психологического благополучия. Cifra LLC Journals.
- Devon Stoliker, Leonardo Novelli, M. Amin Khajehnejad et al. (2026). Psychedelics align brain activity with context. Nature.
- Avery Ostrand, Matthew M. Nour, Christopher Timmermann et al. (2026). Defining ‘psychedelic’. Journal of Psychopharmacology.
- Cédric Laubscher (2026). The Pulsation as a Bipartition: Complete Classification of C1-Admissible Dynamical Laws, and a Singleton Obstruction Theorem for Frustration-Based Selection (Projective Dynamic Logo Framework — Document D68). Zenodo (CERN European Organization for Nuclear Research).
- Toeda Taiko (2026). Measuring Machine Habitus: A Pre-Registered Multiple Correspondence Analysis of LLM Disposition Space. Zenodo (CERN European Organization for Nuclear Research).