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University of Cambridge
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Single-neuron models can now capture multimodal voltage responses, including coexisting firing/non-firing states and depolarization block modes, a feat previously requiring massive ensembles or failing with neural operators.
RadVI offers a simple add-on that significantly improves variational inference by optimizing the radial profile of the surrogate distribution, overcoming limitations of standard Gaussian approximations.
