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Ruyin Wan

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From LIF to QIF: Toward differentiable spiking neurons for scientific machine learning

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By George Em Karniadakis, Panos Stinis, Ruyin Wan
| Nature Verified
Abstract Spiking neural networks (SNNs) offer biologically inspired computation but remain underexplored for continuous regression tasks in scientific machine learning. In this work, we introduce and systematically evaluate Quadratic Integrate-and-Fire (QIF) neurons as an alternative to the conventional Leaky Integrate-and-Fire (LIF) model in both directly trained SNNs and ANN-to-SNN conversion frameworks.
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