MOTIVATION LETTER The European Association of Neurosurgical Societies Congress in Hamburg offers a direct route to present a computational framework for addiction neuroscience that originated in Nigeria and now has confirmed predictions. My CCT model, a tripartite pharmacological ODE system coupling dopaminergic reward prediction error, NMDAR-dependent long-term potentiation, and affective contrast, passed all five pre-registered hypotheses after Bayesian MCMC calibration with 14 free parameters and literature-elicited priors from an 1,847-record screen. Posterior super-additivity ranged 13 to 22 percentage points across model versions. Three sole-authored preprints are under review at IART, PNPBP, and NBR. A co-authored paper is under review at Alcohol, Elsevier. I am a Nigerian pharmacist and independent computational researcher enrolled in the M.Sc. Digital Health programme at Hasso Plattner Institute, University of Potsdam. My research spans addiction neuroscience, protein-drug machine learning, and dynamical-systems methods. The neurocascade engine I built couples pharmacokinetics to receptor-binding to Wilson-Cowan circuit dynamics to behavioral-readout ODE layers, with three literature-calibrated receptor systems and 62 of 62 tests passing. This work aligns directly with EANS themes on neuromodulation, functional neurosurgery, and the neural circuits underlying psychiatric disorders. Registration as an LMIC delegate from Nigeria reduces the financial barrier. The congress provides access to masterclasses, networking with neurosurgical researchers, and exposure to clinical translation pathways my computational work currently lacks. I aim to discuss the CCT model with experimental neuroscientists who could test its predictions in animal models, and to learn from surgical approaches to circuit modulation that could inform the next layer of neurocascade. The CCT model proposes a conjunctive consolidation threshold for reward-memory encoding. If validated, it suggests pharmacological targets for preventing addiction memory formation without ablating reward processing. Hamburg is the venue to test this idea against clinical and surgical expertise. SHORT ESSAY: RESEARCH INTERESTS AND GOALS My central research interest is the computational pharmacology of addiction memory. The CCT model formalizes how dopamine RPE, NMDAR-dependent plasticity, and affective state jointly determine whether a reward-memory consolidates. All five pre-registered hypotheses confirmed. The next step is to fit the model to real behavioral data, which requires access to experimental collaborators and clinical datasets. A second line uses topological data analysis and protein language models to predict drug resistance mutations. TOPOLOGIX, my current project, uses ESM-2 delta-embeddings plus Morgan fingerprints and a Random Forest classifier to achieve AUROC 0.804 on the Platinum benchmark, covering 100% of mutations versus 18% for structure-limited tools. This work has direct relevance to neurosurgical pharmacology, particularly for predicting resistance to drugs used in pain management and epilepsy. At EANS 2026, I seek feedback from neurosurgeons and clinical neuroscientists on how computational models of circuit dynamics can inform deep brain stimulation targets and pharmacological adjuncts. The congress offers masterclasses and networking sessions that bridge my computational background with clinical reality. SHORT ESSAY: RELEVANCE OF EANS 2026 TO MY CAREER EANS 2026 is the first major neuroscientific congress I would attend as an independent researcher. My career trajectory moves from computational modeling toward experimental validation and clinical translation. Hamburg provides a concentrated environment of neurosurgeons, neuromodulation specialists, and addiction researchers who work directly with the circuits I model. The LMIC delegate registration makes attendance feasible. Nigeria has no neurosurgical congress of this scale. Attending places my work in a global context and opens collaboration pathways unavailable in my current independent position. I have arXiv endorsements from Samuel Gershman at Harvard and Nathaniel Daw at Princeton, and correspondence with Kent Berridge at Michigan. EANS allows me to extend this network into the surgical and clinical domain. Specific goals: present the CCT model as a poster or short talk, attend masterclasses on neuromodulation and functional neurosurgery, and identify at least two potential collaborators for behavioral-data fitting of neurocascade. RESEARCH STATEMENT The CCT model addresses a fundamental gap in addiction neuroscience: no existing pharmacological framework specifies the conjunctive conditions under which a reward-memory becomes resistant to extinction. The model couples three axes. The dopaminergic RPE axis encodes prediction error magnitude. The NMDAR-dependent LTP axis gates plasticity. The affective contrast axis modulates whether the experience is tagged as salient. Only when all three exceed a threshold does consolidation proceed. I calibrated the model using Bayesian MCMC with PyMC DEMetropolisZ, 14 free parameters, and priors elicited from a systematic screen of 1,847 records. All five pre-registered hypotheses confirmed. Posterior super-additivity ranged 13 to 22 percentage points across model versions, indicating the axes interact non-additively. Three sole-authored preprints are under review. A co-authored paper is under review at Alcohol. The neurocascade engine extends this approach to full brain-circuit simulation. It couples pharmacokinetics to receptor-binding to Wilson-Cowan dynamics to behavioral readouts. Three receptor systems are calibrated: mu-opioid, D2 dopamine, GABA-A. All 62 unit tests pass. The circuit-layer parameters are explicitly labeled illustrative pending real behavioral-data fits. My topological data analysis work on hERG cardiotoxicity and drug resistance mutations has produced clear negative results that settle open questions. The hERG study found bipartite persistent homology does not beat a plain descriptor baseline, AUROC 0.8426 versus 0.8782. The resistance study found interface topology carries almost no signal, AUROC 0.425 and 0.485. These results are published as preprints and under review. TOPOLOGIX, using sequence representations, achieves AUROC 0.804 on the Platinum benchmark. EANS 2026 provides the clinical and surgical context my computational work requires. I seek to translate the CCT model into testable predictions for neuromodulation targets and pharmacological adjuncts in addiction treatment. CHECKLIST - [ ] Complete online registration for EANS 2026 Hamburg Congress as LMIC delegate - [ ] Pay registration fee by early bird deadline to secure reduced rate - [ ] Submit abstract for poster or oral presentation on CCT model or neurocascade - [ ] Register for masterclasses (requires EANS Individual Membership, max 2) - [ ] Apply for EANS Individual Membership if masterclass attendance desired - [ ] Request visa invitation letter after registration and payment via wire transfer - [ ] Book travel and accommodation in Hamburg for congress dates - [ ] Prepare poster or presentation slides with CCT model results and neurocascade overview - [ ] Prepare one-page summary of research for networking with potential collaborators - [ ] Confirm LMIC delegate eligibility with Nigerian passport and proof of residence EDITOR NOTES - Eligibility risk: Masterclass attendance requires EANS Individual Membership, which may have separate fees and application process. Verify membership cost and timeline before registering. - Fact to verify: Confirm early bird deadline date on the EANS 2026 congress website. The profile does not list this date. - Gap: The profile does not specify whether Eniola has an existing EANS membership. If not, factor membership application time and cost into the plan. - Gap: No abstract submission deadline is listed. Check the congress website for call for abstracts and prepare a 250-300 word abstract on the CCT model. - Verification: Confirm that LMIC delegate registration is available for Nigerian citizens and does not require additional documentation beyond passport and proof of residence.