five

Transmembrane Potential Dataset

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arXiv2025-09-30 收录
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https://github.com/qu-gg/causal-effect-neural-ssm
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资源简介:
该数据集包含两个子集:一是原生跨膜电位集,包含1000个随机初始激发位置的电压图;二是存在额外焦点的跨膜电位集,包含705个样本,这些样本具有不同的初始激发位置和额外焦点的时机场所。该数据集不仅包含没有干预的正常动态,也包含有异位焦点干预的动态,用于评估所提出方法在重构和识别异常焦点方面的能力。规模上,原生动态的电压图有1000张,干预动态的样本有705个。任务目标是重构那些扰乱正常电传导的异位焦点。

This dataset comprises two subsets: The first is the native transmembrane potential subset, which contains 1000 voltage maps with randomly chosen initial excitation positions. The second is the transmembrane potential subset with additional foci, which includes 705 samples with distinct initial excitation positions and varying timing and locations of additional foci. This dataset covers both normal dynamics without any interventions and dynamics intervened by ectopic foci, and is used to evaluate the capability of the proposed method in reconstructing and identifying abnormal foci. In terms of scale, there are 1000 voltage maps for the native dynamics and 705 samples for the intervened dynamics. The task objective is to reconstruct the ectopic foci that disrupt normal electrical conduction.
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