AI RESEARCH
Translation Invariance of Neural Operators for the FitzHugh-Nagumo Model
arXiv CS.LG
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ArXi:2603.17523v1 Announce Type: new Neural Operators (NOs) are a powerful deep learning framework designed to learn the solution operator that arise from partial differential equations. This study investigates NOs ability to capture the stiff spatio-temporal dynamics of the FitzHugh-Nagumo model, which describes excitable cells. A key contribution of this work is evaluating the translation invariance using a novel