AI RESEARCH
Literature-Guided Minimax Optimization of Virtual Epilepsy Neurostimulation
arXiv CS.LG
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ArXi:2606.04339v1 Announce Type: new Computational models of epilepsy promise patient-specific treatment design, but most optimization workflows still search for parameters that perform well on average. In neuromodulation, this is a weak target: a protocol that improves the mean response can still fail in the patient whose network is least tolerant to stimulation. We present a literature-guided minimax pipeline that couples PubMed-scale hypothesis extraction, The Virtual Brain (TVB) Epileptor simulations, and large-language-model-guided black-box optimization.