Understanding how information is generated, integrated, and propagated in the nervous system remains one of the central challenges of contemporary neuroscience. While synaptic transmission and action-potential-based signaling have provided an extraordinarily successful framework for describing neural computation, growing experimental and theoretical evidence suggests that this picture may be incomplete when it comes to explaining global integration, state-dependent modulation, and the emergence of coherent cognitive phenomena.
Over the last decades, electromagnetic (EM) fields, ultraweak photon emission (UPE), and field-mediated interactions have increasingly appeared in discussions at the interface of neuroscience, biophysics, and quantum biology. Yet these subjects have often remained fragmented across disciplines, sometimes treated as epiphenomena, sometimes over-interpreted, and frequently lacking a common conceptual language. The present Research Topic was conceived to address this fragmentation by offering a focused, interdisciplinary space in which EM- and photon-mediated mechanisms could be examined rigorously, critically, and without
The aim of this Research Topic was not to promote a single explanatory framework, but rather to explore whether electromagnetic and photonic processes can play a meaningful role in neuronal communication and information processing, and under what conditions such roles are plausible. Importantly, the Research Topic explicitly welcomed theoretical analyses, experimental studies, and negative or constraining results, recognizing that progress in emerging fields depends as much on delimiting what does not work as on proposing new mechanisms.
Across the contributions collected here, a common thread emerges; EM phenomena in biological systems are neither negligible noise nor do they have universal explanations. Instead, they represent a structured layer of physical interaction that must be evaluated with quantitative care, mechanistic specificity, and epistemic restraint.
Several complementary perspectives are represented among the accepted articles.
The first contribution by
The second contribution by
Equally important are contributions that establish boundaries. A rigorous theoretical analysis by
Finally, an experimental study by
Taken together, these contributions suggest several converging insights. First, EM and photonic phenomena in neural systems are real, measurable, and state dependent. Second, their functional relevance cannot be assumed but must be established through careful modeling, controlled experimentation, and falsifiable predictions. Third, field-mediated processes may be particularly relevant for understanding global integration, modulation, and transitions between functional states, rather than the local point-to-point computation alone.
At the same time, the Research Topic underscores the importance of epistemic discipline. Not every observed electromagnetic or photonic level effect implies information processing, and not every limitation of synaptic models necessitates quantum explanations. The strength of this Research Topic lies precisely in its balanced treatment of possibility and constraint.
Despite the progress represented here, substantial challenges remain. Direct causal evidence linking electromagnetic fields to specific informational roles in neural computation is still limited. Methodological standardization improved spatiotemporal resolution, and better synergy between theory and experiment are urgently needed. Moreover, translating these insights into artificial systems raises non-trivial engineering questions regarding detectability, controllability, and robustness of field-based information encoding.
Looking forward, research at the intersection of neuroscience, biophysics, and electromagnetics will benefit from integrative approaches that combine negative results, conceptual modeling, and carefully designed experiments. Future work may explore how electric and magnetic field components interact with ion channels, membranes, and intracellular structures, how photonic emission correlates with metabolic and cognitive states, and whether hybrid computational architectures can exploit field-based dynamics without abandoning classical physical principles.
By bringing together diverse yet complementary contributions, this Research Topic aims to provide a coherent snapshot of an evolving field, one that is neither speculative enthusiasm nor conservative dismissal, but a disciplined exploration of the physical substrates of neural information processing.
MC: Conceptualization, Methodology, Supervision, Writing – original draft. MP: Writing – review & editing. TC: Writing – review & editing. AD: Writing – review & editing.
This research was undertaken, in part, thanks to funding to T. J. A. Craddock from the Canada Research Chairs Program (CRC-2022-00204), and the University of Waterloo.
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The author(s) declared that generative AI was used in the creation of this manuscript. Generative AI tools were used exclusively for language refinement, stylistic editing, and grammatical correction. No generative AI was used for scientific reasoning, data analysis, or the generation of original content.
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