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Updated: Jan 8, 2026

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
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神经常规微分方程流的高阶扩展

Dario Izzo1, Sebastien Origer1, Giacomo Acciarini1

  • 1Advanced Concepts Team, European Space Research and Technology Centre (ESTEC), Keplerlaan 1, 2201 AZ Noordwijk, Netherlands.

Science advances
|December 17, 2025
PubMed
概括

事件过渡张量提供了一种新的方法来解释神经常规微分方程 (NeuralODEs) 中的复杂动态. 该工具增强了动态系统中的机器学习模型的可解释性和分析验证.

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