Physarum-Mediated Biofeedback Rehabilitation: A Bio-Hybrid Framework for Ibogaine-Assisted Neural Recovery

Summary

This document serves as a defensive publication to prevent patent exclusivity over various concepts and methods related to addiction recovery using Physarum, a slime mold. It outlines three mapping domains: frequency-domain mapping of EEG signals to Physarum oscillation frequencies, amplitude-domain mapping linking neural activity in addiction circuits to nutrient concentration, and phase-domain mapping of inter-regional synchronization to nutrient patterns. The intention is to create open access for these ideas to benefit humanity.

Study at a glance

Abstract

DEFENSIVE PUBLICATION NOTICE This document is published as a defensive publication to establishprior art and prevent any party from obtaining patent exclusivityover the concepts, methods, architectures, and applicationsdescribed herein. By timestamping this work on Zenodo (aCERN-operated open-access repository), the authors establish animmutable priority date. This work is released under Creative Commons Attribution 4.0International (CC-BY 4.0). Any person, institution, or entity mayuse, build upon, or commercialize derivatives of these ideas,provided attribution is given. No party may obtain exclusive patentrights over the core concepts described in this document, as thispublication constitutes prior art under: - Patent Cooperation Treaty (PCT)- US Patent Act (35 U.S.C. §102)- European Patent Convention (Art. 54)- Australian Patents Act 1990 (s7) Intent: These ideas belong to humanity. Addiction does notdiscriminate by income bracket, and neither should the toolsthat heal it. THE TRANSLATION INTERFACE — THREE MAPPING DOMAINS FREQUENCY-DOMAIN MAPPING:EEG frequency bands (theta and gamma, associated with memoryconsolidation and cognitive binding) are mapped to Physarumoscillation frequency targets via temperature modulation(Physarum oscillation frequency is temperature-dependent).Coherent neural activity in recovery-associated regions triggersnutrient delivery to corresponding Physarum nodes. AMPLITUDE-DOMAIN MAPPING:Neural signal amplitude in addiction circuits (nucleus accumbens,ventral tegmental area proxy regions) is inversely mapped tonutrient concentration at "addiction" nodes. Higher addictioncircuit activation = less food at the corresponding Physarumnode = network retraction from that region. PHASE-DOMAIN MAPPING:Inter-regional phase synchronization (a marker of functionalconnectivity) is mapped to spatial nutrient gradient patterns,encouraging Physarum to build connections between nodes whosecorresponding brain regions are becoming more functionallyconnected. SYSTEM DIAGRAM PATIENT PHYSARUM CHAMBER FEEDBACK DISPLAY┌─────────────┐ ┌──────────────────┐ ┌──────────────┐│ EEG Array │──signal──▶│ Nutrient Grid │──image─▶│ Time-lapse ││ Wearable │ │ ┌──┐ ┌──┐ │ │ Topology ││ Biosensors │──freq───▶ │ │PP│──│PP│ │──data──▶│ Analysis ││ HRV/GSR │ │ └──┘ └──┘ │ │ Recovery % │└─────────────┘ │ Living Network │ └──────┬───────┘ ▲ └──────────────────┘ │ │ │ └──────────────── motivational loop ────────────────────┘ STRUCTURAL ISOMORPHISM: THE ROSETTA STONE MAPPINGSix functional isomorphisms (not metaphorical analogies) NEURAL PROCESS | PHYSARUM PROCESS | IBOGAINE MECHANISM----------------------------|--------------------------------|---------------------------Synaptic plasticity | Tube reinforcement via flow | NMDA receptor blockade(Hebbian learning) | volume | opens plasticity window | |Use-it-or-lose-it | Vein retraction from | Weakening of addictionsynaptic pruning | nutrient-free dead-ends | circuit connectivity | |BDNF/GDNF neurotrophic | Nutrient-directed pseudopod | Massive GDNF and BDNFgrowth | expansion | upregulation | |Neural oscillations | Protoplasmic shuttle | Disruption of pathological(brain waves) | streaming (1-2 min periods) | oscillation patterns | |Long-term potentiation | Path-dependent conductivity | Consolidation of new | increase | pathway formation | |Resting-state network | Spontaneous oscillation | Post-reset integrationactivity | patterns | window (24-72 hrs) REFERENCES [1] Alim, K. et al. (2021). Adaptive behaviour and learning in slime moulds: the role of oscillations. Phil. Trans. R. Soc. B, 376(1820). DOI: 10.1098/rstb.2019.0757 [2] Adamatzky, A. (2010). Physarum Machines: Computers from Slime Mould. World Scientific, Singapore. [3] Adamatzky, A. (2015). A Would-Be Nervous System Made from a Slime Mold. Artificial Life, 21(1), 73-91. MIT Press. [4] Aono, M. et al. (2025). Tracking Slime Mold Solutions to TSP. arXiv:2504.03492. [5] Adamatzky, A. (2013). Hair sensors made with slime mould. arXiv:1306.2935. [6] Barkley, C. et al. (2026). Neurorestorative properties of ibogaine. Acta Neuropsychiatrica. Cambridge University Press. [7] Stanford Psychedelic Medicine Research Center (2026). Phase II: Ibogaine for opioid use disorder. 71% abstinence at 6-month follow-up. [8] JAMA Psychiatry (2026). Ibogaine for combat-related PTSD in 200 veterans. 67% remission at 3 months. [9] Reid, C.R. et al. (2012). Slime mold uses externalized spatial "memory". PNAS, 109(43), 17490-17494. DOI: 10.1073/pnas.1215037109 [10] Whiting, J.G.H. et al. (2016). Hybrid circuits with slime mould thermistive properties. Sci. Rep., 6, 23924. [11] Mayne, R. & Adamatzky, A. (2016). Towards a Physarum learning chip. Springer. [12] Ghiasi, S. (2026). Hz Is Everything V2.4545. Zenodo. DOI: 10.5281/zenodo.20555823 [13] Ghiasi, S. (2026). Origami Recombobulator. Zenodo. DOI: 10.5281/zenodo.20555823 [14] The White House (2026). Executive Order: Accelerating Medical Treatments for Serious Mental Illness. April 18. [15] NY State Senate. Bill S1817: Ibogaine clinical research. 2025-2026 Legislative Session.

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