AINeutralarXiv – CS AI · 11h ago6/10
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Neuronal Stochastic Attention Circuit (NSAC) for Probabilistic Representation Learning
Researchers introduce NSAC, a biologically-inspired continuous-time attention architecture that quantifies uncertainty in representation learning by reformulating attention computation as a stochastic differential equation. The approach combines theoretical stability guarantees with practical applications across forecasting, autonomous vehicles, and industrial systems, advancing uncertainty quantification in neural networks.