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arXiv · 2504.02803

Beyond Discretization: A Continuous-Time Framework for Event Generation in Neuromorphic Pixels

Aaron J. Hendrickson·David P. Haefner
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Abstract

A novel continuous-time framework is proposed for modeling neuromorphic image sensors in the form of an initial canonical representation with analytical tractability. Exact simulation algorithms are developed in parallel with closed-form expressions that characterize the model's dynamics. This framework enables the generation of synthetic event streams in genuine continuous-time, which combined with the analytical results, reveal the underlying mechanisms driving the oscillatory behavior of event data presented in the literature.

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Aaron J. Hendrickson, David P. Haefner. 2025-04-03. Beyond Discretization: A Continuous-Time Framework for Event Generation in Neuromorphic Pixels. https://arxiv.org/abs/2504.02803

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