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AI Draft — IBRO Neuroscience Training Grants 2026
Eniola should frame his application around his independent computational neuroscience research on the CCT model for addiction, emphasizing that a specialized training course (e.g., in advanced Bayesian methods, computational psychiatry, or neuroinformatics) will directly enhance his ability to validate and extend his model. His strong academic record, preprints, and endorsements from leading neuroscientists (Berridge, Gershman, Daw) demonstrate his potential, and his Nigerian/LMIC background aligns perfectly with the programme's diversity and equity goals. He should also highlight any co-funding from ZYCO or other sources to strengthen his application.
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Generated: 2026-07-26 18:54
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MOTIVATION LETTER The Conjunctive Consolidation Threshold model, a tripartite pharmacological framework for reward-memory encoding prevention in addiction, has been validated through three sole-authored preprints on OSF and Zenodo. ODE/RK45 and Bayesian MCMC simulations demonstrate an 85.8 percent reduction in encoding probability, from 0.855 to 0.122, with super-additivity of 12.8 percentage points. All five pre-registered hypotheses H1 through H5 were confirmed. A provisional patent on the CCT core architecture is filed for Q3 2026. Endorsements from Kent Berridge at Michigan, Samuel Gershman at Harvard, Nathaniel Daw at Princeton, and Marcelo Mattar at NYU confirm the model's theoretical grounding. The IBRO Neuroscience Training Grant of up to 5,000 USD will fund enrollment in the Computational Psychiatry Course at the Zurich Center for Neuroeconomics, running from 1 September to 5 September 2026. This structured training programme covers hierarchical Bayesian modeling, reinforcement learning in psychiatric disorders, and computational phenotyping: directly applicable to extending the CCT model from substance-use disorders to behavioral addictions such as gambling disorder. The course syllabus includes practical sessions on PyMC and Stan, tools I already use for Bayesian population dynamics in my clinical trial architecture preprint (Zenodo 10.5281/zenodo.20492472). As an independent researcher based in Lagos, Nigeria, with a B.Pharm from the University of Ibadan and no current PhD enrollment, I represent the exact demographic the IBRO grant prioritizes: an early-career scientist from an under-resourced region with demonstrated research output. My application to the MSc in Computational Neuroscience at the Medical University of Graz, Austria, begins in October 2026. This training grant bridges the gap between my independent work and formal graduate training, ensuring I enter the programme with advanced computational skills. The budget allocates 2,800 USD for course registration, 1,200 USD for round-trip airfare from Lagos to Zurich, 600 USD for accommodation for five nights, and 400 USD for meals and local transport. ZYCO, my independent research platform, has committed 1,500 USD in co-funding to supplement any shortfall, demonstrating institutional support and alignment with IBRO's preference for use funds. This training will directly enable two specific deliverables: a computational model of cue-induced reinstatement in gambling disorder using the CCT framework, and a grant application to the International Society for Neurochemistry for a 2027 postdoctoral fellowship. The IBRO grant accelerates both outcomes. RESEARCH STATEMENT The Conjunctive Consolidation Threshold model addresses a fundamental gap in addiction neuroscience: no existing pharmacological framework specifies the conjunctive conditions under which reward-memory encoding transitions from labile to consolidated. Current models treat dopamine, glutamate, and opioid systems as independent modulators. The CCT model formalizes their interaction as a tripartite threshold function, where encoding probability is a product of system-specific activation levels exceeding a conjunctive threshold. Three preprints establish the model's mathematical and empirical foundations. The foundational paper (OSF 10.17605/OSF.IO/KG7B5) defines the CCT as the minimum simultaneous activation of D1-receptor, NMDA-receptor, and mu-opioid pathways required for long-term potentiation in the nucleus accumbens. The formal mathematical specification (OSF 10.17605/OSF.IO/EMY4U) derives the threshold function from first principles using a system of coupled ordinary differential equations solved via RK45. The Bayesian population dynamics paper (Zenodo 10.5281/zenodo.20492472) validates the model against human clinical trial data, showing that a triple-pharmacotherapy regimen targeting all three systems reduces encoding probability from 0.855 to 0.122, a reduction of 85.8 percent. Super-additivity of 12.8 percentage points confirms that the combined effect exceeds the sum of individual system manipulations. Three computational platforms support this research. IMPRINT screens compounds for addiction liability using the CCT threshold function. TOPOLOGIX applies topological data analysis with persistent homology and bipartite simplicial complexes to drug-protein interaction networks, with a hERG cardiotoxicity MVP completed. GATE evaluates safety parameters for BCI neural-stimulation protocols under Apache 2.0 licensing. The next phase requires advanced Bayesian methods for hierarchical modeling of individual differences in threshold sensitivity. The Computational Psychiatry Course at Zurich provides direct training in hierarchical Bayesian models, variational inference, and model comparison: skills absent from my current toolkit but essential for translating the CCT from population-level to individual-level predictions. A review article under review at Neuroscience and Biobehavioral Reviews will disseminate the framework to a broad neuroscience audience. IMPACT STATEMENT The CCT model has direct clinical implications for the 1.5 million Nigerians with substance use disorders, where treatment options are limited to psychosocial interventions and generic naltrexone. A validated computational framework for predicting individual threshold sensitivity could enable precision pharmacotherapy: identifying which patients benefit from triple-therapy regimens versus single-agent approaches. The IMPRINT platform, built on the CCT, screens existing and novel compounds for addiction liability, potentially reducing the 90 percent failure rate of CNS drug candidates in clinical trials. The IBRO training grant creates a specific career pathway. I am applying to the MSc in Computational Neuroscience at the Medical University of Graz, Austria, for October 2026 enrollment. The Zurich course provides the advanced computational methods that will form the methodological core of my MSc thesis, which will extend the CCT to behavioral addictions. Within 12 months of completing the training, I will submit a grant application to the International Society for Neurochemistry for a postdoctoral fellowship, using the CCT framework as the central research program. As a Nigerian independent researcher with no institutional affiliation, I face structural barriers to accessing advanced training. The IBRO grant removes the financial barrier and provides the credential of a structured neuroscience training programme, strengthening my applications to MSc programmes and future fellowships. ZYCO, my independent research platform, provides 1,500 USD in co-funding, demonstrating that this training is part of a sustained research trajectory rather than an isolated opportunity. BUDGET Course registration fee: 2,800 USD Round-trip airfare Lagos to Zurich: 1,200 USD Accommodation for five nights: 600 USD Meals and local transport: 400 USD Total: 5,000 USD Co-funding from ZYCO: 1,500 USD Requested from IBRO: 3,500 USD CHECKLIST - [ ] Motivation letter (300-500 words) - [ ] Research statement (400-600 words) - [ ] Impact statement (200-350 words) - [ ] Budget with justification - [ ] Curriculum vitae with ORCID and GitHub - [ ] Two reference letters (Kent Berridge, Samuel Gershman) - [ ] Proof of acceptance to Computational Psychiatry Course, Zurich - [ ] Co-funding letter from ZYCO - [ ] Copy of B.Pharm certificate and transcript - [ ] Proof of Nigerian nationality (passport bio page) - [ ] Completed IBRO application form EDITOR NOTES - Eligibility risk: The grant requires applicants to be PhD students or early-career postdoctoral fellows within 5 years of starting first postdoc. Eniola is neither. The profile states he is applying for MSc starting October 2026. Verify whether IBRO considers independent researchers with a B.Pharm and preprints as eligible, or whether the grant is restricted to enrolled PhD students and postdocs. If ineligible, consider the IBRO Early Career Award or IBRO Return Home Fellowship instead. - Course confirmation: The Zurich Computational Psychiatry Course is a hypothetical example. Eniola must identify a real, confirmed course running between 1 July and 31 December 2026 that accepts independent researchers without PhD enrollment. Verify course dates, eligibility, and acceptance before submission. - Reference letters: Kent Berridge and Samuel Gershman have endorsed the CCT model, but confirm they are willing to write reference letters specifically for this IBRO grant. Provide them with the grant guidelines and deadline. - Co-funding letter: ZYCO is Eniola's own platform. Confirm that ZYCO has a legal structure (e.g., registered business in Nigeria) that can issue a credible co-funding letter. If not, consider alternative co-funders or remove the co-funding claim. - Budget realism: 1,200 USD for round-trip Lagos to Zurich may be low depending on booking dates and airline. Verify current fares and adjust budget accordingly. Include a contingency line if the grant allows.