Embodiment & Emergence — Weekly Roundup #2
April 3, 2026: structure-dependent dynamics · distributed organization · multi-scale systems · constraint-driven behavior
This is the second issue of the Embodiment & Emergence — Weekly Roundup. Each week, it brings together research and writing that probe how mind, body, and behavior are organized across different levels and timescales. The work is expert-curated and AI-assisted: AI helps process and structure the material, while selection, framing, and interpretation remain human-guided. Not all findings are equally strong, and many remain correlational or provisional, but each offers a signal toward more embodied and emergent accounts of cognition and experience.
Embodiment starts from the premise that mind is not just something the brain does in isolation, but something shaped by the body’s sensations, actions, physiology, and ongoing exchanges with the world.
Emergence points to how larger patterns — in thought, behavior, identity, and groups — arise from many interacting parts rather than from a single controlling center.
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This Week’s Synthesis — April 3, 2026: Across these pieces, structure and dynamics repeatedly appear as organizing constraints on behavior and cognition across scales. Large-scale brain models describe neural activity as patterns emerging from interactions across networks rather than isolated units. Work on bioelectricity and morphogenesis similarly shows that electrical signaling depends on tissue architecture, ion channel organization, and intercellular coupling. Research on slime moulds extends this pattern beyond nervous systems, suggesting that adaptive behavior can arise through interactions between internal states and environmental modifications. Together, these studies point to systems in which function is inseparable from physical organization and ongoing activity.
Dynamic Models of Large-Scale Brain Activity
Breakspear, M. (2017). Dynamic models of large-scale brain activity. Nature Neuroscience, 20, 340–352. https://doi.org/10.1038/nn.4497
TAGS: large-scale brain dynamics, emergence, neural mass models, neural field models, nonlinear dynamics, multistability, criticality, brain networks, embodied cognition
OVERVIEW: This is a theoretical and methodological review synthesizing dynamic models of large-scale brain activity, rather than a primary empirical study. It focuses on neural mass and neural field models that approximate the collective behavior of populations of neurons using nonlinear dynamical systems, spanning cortical, thalamic, and spinal structures. These models integrate multimodal data—such as electrophysiological recordings and imaging—into formal systems that can generate and test predictions about brain dynamics. Applications include modeling normal rhythms as well as pathological states such as generalized seizures and burst-suppression, though quantitative dataset details are not specified in this review.
OF NOTE: The central contribution is a shift from viewing brain function as localized computation to understanding it as patterns emerging from distributed, interacting systems across space and time. Concepts such as multistability, criticality, and wave propagation describe how global brain states arise from coordinated activity rather than from isolated neural units. This aligns with an emergent perspective in which cognition and behavior reflect system-level dynamics, not reducible to individual neurons. From an embodiment standpoint, these models also position brain activity as constrained by—and coupled to—physical structure, including connectivity architecture and biophysical parameters, suggesting that function is inseparable from the material organization of the system.
CAVEATS: As a conceptual synthesis, the paper does not introduce new empirical datasets and relies on previously developed models and case studies. The models necessarily simplify underlying biological complexity, abstracting away cellular, synaptic, and metabolic processes, and often require parameter estimation that is indirectly inferred from data. Many examples focus on specific phenomena such as epilepsy, anesthesia, and resting-state activity, which limits generalization across all cognitive or clinical domains. As a result, causal claims about mechanisms remain constrained by both model assumptions and current experimental validation capabilities.
KEY TAKEAWAYS: The review supports the use of nonlinear dynamical systems as a principled framework for understanding large-scale brain activity as an emergent phenomenon. Neural mass and field models demonstrate how coherent patterns—oscillations, state transitions, and pathological dynamics—can arise from distributed interactions across neural populations. This is consistent with a view in which brain function reflects coordinated system-level organization shaped by both structural connectivity and biophysical constraints. While these models provide a powerful unifying language, their explanatory reach depends on continued empirical grounding and refinement.
Structural Electrobiology and the Architecture of the Bioelectric Code
Beaudoin, C. A., Salvage, S. C., Hamaia, S. W., Lei, M., Huang, C. L.-H., & Jackson, A. P. (2025). Structural electrobiology: Architecture of the bioelectric code. Open Biology, 15(12), 240379. https://doi.org/10.1098/rsob.240379
TAGS: bioelectricity, structural biology, ion channel organization, morphological intelligence, electrotonic conduction, ephaptic coupling, cryo-electron microscopy, tissue architecture, emergence
OVERVIEW: This is a conceptual and synthetic review examining how biochemical composition and tissue ultrastructure shape bioelectrical signalling across human tissues. The authors analyze three primary modes of conduction—electrotonic, saltatory, and ephaptic—and relate each to specific configurations of membranes, ion channels, and intercellular spacing. Drawing on structural data from techniques such as cryogenic electron microscopy and tomography, they highlight how nanoscale organization constrains electrical behavior. Quantitative parameters (e.g., intermembrane distances and channel arrangements) are discussed where available, but no new experimental datasets are introduced.
OF NOTE: The review shifts emphasis from electrical signalling as an abstract property of membranes to a phenomenon grounded in physical architecture, where structure itself organizes and regulates signal propagation. Recurring motifs—such as dense clustering of voltage-gated ion channels and tightly controlled intermembrane distances—appear across conduction modes, suggesting shared structural principles underlying tissue excitability. This supports a view of bioelectricity as distributed, structure-based coordination, where tissue geometry and material properties constrain and channel activity. Viewed through an embodiment lens, electrical signaling becomes inseparable from the physical arrangement of cells and molecules, while an emergence perspective is reflected in how large-scale functional behavior arises from these local structural interactions.
CAVEATS: As a narrative review, the paper synthesizes existing literature and does not present new experimental tests of the proposed relationships. Many links between specific ultrastructural configurations and macroscopic electrical dynamics remain inferential, and the authors explicitly identify gaps in resolving ion channel–scaffold assemblies in native tissue contexts. Structural data for voltage-gated channel complexes in situ remain limited, constraining causal claims about how particular architectures generate specific signaling patterns. Broader implications for development, disease, or higher-order biological functions are framed as open questions rather than established conclusions.
KEY TAKEAWAYS: The article supports the view that bioelectrical signalling is inseparable from the structural organization of biological systems, with nanoscale architecture playing a central role in shaping how signals propagate and interact. Across conduction modes, consistent design features—such as channel clustering and spatially constrained extracellular environments—suggest that electrical behavior is regulated through physical organization rather than abstract circuitry alone. This is consistent with a perspective in which biological systems exhibit a form of structure-dependent coordination, where function emerges from the arrangement and interaction of material components. Advances in high-resolution structural methods are likely to clarify these relationships further, but current evidence remains suggestive rather than definitive.
Collective Intelligence in Living Matter: Michael Levin on Bioelectric Morphogenesis and Synthetic Organisms
Grow Everything Biotech Podcast. (2025, November 21). When matter makes decisions: Michael Levin on the intelligence of form (M. Levin, Guest) [Video]. YouTube.
TAGS: bioelectricity, morphogenesis, morphological intelligence, collective intelligence, planaria, xenobots, developmental biology, regenerative medicine, embodiment, emergence
OVERVIEW: Levin presents an extended overview of research from his lab and related work in developmental biology, focusing on how non-neural tissues coordinate large-scale anatomical outcomes through bioelectric signaling. Drawing on systems such as planarian flatworms, amphibians, and synthetic constructs like xenobots, he describes how spatial patterns of voltage gradients, ion flux, and intercellular coupling can be experimentally measured and perturbed to alter organismal form. Examples include planaria induced to regenerate with two heads and tadpoles with ectopic but functional eyes, suggesting that cell collectives can maintain and execute target morphologies under altered conditions. Quantitative experimental details are not specified in this interview format.
OF NOTE: The central conceptual move is to treat biological form itself as a kind of distributed decision-making process, in which tissues use bioelectric and biochemical signals to navigate a space of possible anatomical configurations. Rather than locating “intelligence” in neural systems alone, Levin’s framework suggests that morphology emerges from coordinated activity across cells that collectively evaluate, store, and act on pattern-level information. This supports a view of morphological or structure-based intelligence, where anatomy is not passively built from genetic instructions but actively regulated through ongoing electrical and physiological dynamics. Interpreted through an embodiment lens, cognition-like processes appear grounded in material organization—ionic gradients, membrane properties, and tissue geometry—while an emergence perspective is reflected in the absence of a centralized controller governing form.
CAVEATS: As presented in this discussion, the material is a high-level synthesis rather than a presentation of individual studies with full methodological detail. Specific experimental parameters, including sample sizes, controls, and statistical analyses, are not provided, and individual findings are summarized without sufficient context for independent evaluation. Concepts such as “decision-making,” “memory,” and “intelligence” are used in an expanded, sometimes metaphorical sense that may not map cleanly onto standard definitions in neuroscience or cognitive science. Claims about the generality of these mechanisms across species or their applicability to clinical contexts remain provisional and require careful examination of the primary literature.
KEY TAKEAWAYS: The discussion is consistent with a view that biological form is regulated by distributed, multi-scale processes in which electrical and physiological dynamics play a central coordinating role. Evidence from systems like planaria and xenobots suggests that tissues can maintain and modify target morphologies in ways that are not reducible to genetic sequence alone, implying the existence of higher-level pattern control mechanisms. Levin’s broader proposal—that biology can be understood as a continuum of decision-making processes embedded in material structure—is best interpreted as a research program grounded in these observations rather than a settled conclusion. Taken together, the work supports an embodied, emergent perspective in which intelligence-like behavior arises from the organization and interaction of living matter itself.
Slime Mould, Memory, and the Boundaries of Cognition
Baluska, M. (2025). Certain slime moulds can make decisions, solve mazes and remember things. What can we learn from the blob? Aeon. https://aeon.co/essays/what-can-slime-mould-teach-us-about-biological-memory
TAGS: Physarum polycephalum, embodied cognition, extended memory, non-neuronal learning, emergence, spatial computation, environmental coupling, habituation, collective behavior
OVERVIEW: This is a theoretically oriented essay drawing on prior experimental work on the acellular slime mould Physarum polycephalum, rather than a primary empirical study. It synthesizes findings from maze navigation, slime trail deposition, habituation to aversive stimuli (e.g., quinine, salt), and memory transfer following cell fusion. Reported results include substantially slower navigation on fully slime-coated substrates compared to clean agar, and the observation that naïve individuals can exhibit habituated responses after brief fusion with previously exposed cells. Quantitative experimental parameters (e.g., sample sizes, trial counts) are not specified in the essay.
OF NOTE: The central conceptual contribution is a reframing of memory and decision-making as processes distributed across organism–environment systems rather than localized within neural structures. In Physarum, behavior appears to depend on ongoing coupling between internal physiological dynamics and external modifications of the environment, such as slime trails that bias future movement. This aligns with an embodied perspective in which cognition is enacted through material interaction, and with an emergent perspective in which coordinated behavior arises from local interactions without centralized control. The notion of “memory without learning,” as discussed in the context of post-fusion transfer, further suggests that functional memory-like processes may be instantiated in shared physiological or structural states rather than individual experience alone.
CAVEATS: As an essay, the piece does not provide full methodological detail for the underlying studies, and empirical claims are presented in summary form without experimental context such as controls, replication, or statistical analysis. All cited findings derive from a narrow set of laboratory paradigms involving a single organism under controlled conditions, limiting generalization. Interpretations concerning “memory,” “decision-making,” and “cognition” extend beyond the directly observed behaviors and rely on broader conceptual frameworks that remain debated. Mechanistic accounts of how information is stored, transformed, and retrieved—whether intracellularly, structurally, or environmentally—are not specified.
KEY TAKEAWAYS: The work is best read as a conceptual synthesis suggesting that memory and decision-like behavior can emerge from coupled organism–environment dynamics in non-neuronal systems. Empirical findings in Physarum support the view that behavior can be guided by both internal states and externally instantiated traces, without reliance on centralized control structures. This is consistent with an embodied and emergent account in which biological systems coordinate action through distributed processes spanning material structure, physiology, and environment. The broader implications for cognition remain suggestive and require careful grounding in primary experimental literature.
Reassessing Trauma Narratives in “The Body Keeps the Score”
Scheeringa, M. S. (2025). Evaluating evidence behind popular trauma narratives: Neurobiological and treatment claims in The Body Keeps the Score. BJPsych Bulletin. https://www.cambridge.org/core/journals/bjpsych-bulletin/article/evaluating-evidence-behind-popular-trauma-narratives-neurobiological-and-treatment-claims-in-the-body-keeps-the-score/5DE000F0254747495B1CAFF4051C3B75
TAGS: trauma, PTSD, embodiment, neurobiology, psychotherapy, evidence-based practice, diathesis–stress, neurorealism, clinical narratives, emergence
OVERVIEW: This is a critical commentary rather than a primary empirical study, systematically evaluating claims made in Bessel van der Kolk’s The Body Keeps the Score. The author reviews 122 distinct claims—42 related to neurobiology, 51 to treatment efficacy, and 29 to development and memory—against findings from prospective studies, systematic reviews, meta-analyses, and randomized controlled trials. The analysis focuses on two domains: whether trauma produces lasting neurobiological “damage,” and whether body-based therapies have unique therapeutic effects. Quantitative details from individual studies are referenced indirectly through the cited literature but are not specified within the commentary itself.
OF NOTE: The paper directly challenges a widely circulated interpretation of embodiment in trauma discourse—that traumatic experience is literally “stored” in the body as persistent damage requiring specifically somatic interventions. Instead, the reviewed evidence is more consistent with distributed vulnerability models, in which pre-existing neurobiological and psychological factors shape responses to trauma exposure. This reframing shifts emphasis away from a static, damage-based view of embodiment toward a more dynamic, multi-factorial system in which outcomes emerge from interactions across biology, experience, and context. From an emergence perspective, trauma-related phenomena are better understood as patterns arising from these interacting systems rather than as localized lesions or stored imprints.
CAVEATS: As a secondary analysis, the article depends entirely on existing literature and does not present new empirical data. Much of the underlying research—particularly neuroimaging studies—is cross-sectional, limiting causal inference and leaving open questions about directionality. Evidence for body-based therapies is often based on small samples, pilot studies, or trials with limited controls, constraining conclusions about efficacy and comparative effectiveness. The piece is also positioned as a critique within an argumentative section, which may emphasize counterpoints rather than providing a fully balanced synthesis of all perspectives in the field.
KEY TAKEAWAYS: The commentary suggests that influential trauma narratives grounded in strong embodied metaphors may exceed the available empirical support when interpreted literally. Current evidence is more consistent with models in which trauma-related outcomes reflect interactions among predisposing factors, environmental exposures, and adaptive processes over time, rather than permanent biological damage. Established treatments such as trauma-focused cognitive–behavioural therapy and EMDR remain the most supported approaches, without clear evidence that body-based interventions are uniquely effective. More broadly, the piece highlights the need to distinguish between metaphorical, phenomenological accounts of embodiment and empirically supported mechanisms, particularly when such narratives influence clinical practice and public understanding.
This Week’s Takeaways — April 3, 2026: Taken together, these findings point toward biological systems as distributed, structure-constrained processes rather than centrally controlled ones. Neural, cellular, and organism-level dynamics all reflect patterns that arise from local interactions across multiple scales. At the same time, the critique of trauma narratives highlights the need for restraint, showing that embodied explanations can become overextended when metaphor is treated as mechanism. A careful reading suggests that while structure and physiology constrain and enable behavior, the specific mechanisms remain context-dependent and often only partially understood. The broader implication is a shift from viewing cognition as something located to understanding it as something enacted across systems, while maintaining clear boundaries between evidence and interpretation.
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