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Updated: Jul 13, 2025

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oFVSD:一个针对高维度神经成像数据的优化前向变量选择解码器的Python包

Tung Dang1,2, Alan S R Fermin1, Maro G Machizawa1

  • 1Center for Brain, Mind, and KANSEI Sciences Research, Hiroshima University, Hiroshima, Japan.

Frontiers in neuroinformatics
|October 13, 2023
PubMed
概括

本研究引入了一种优化的前向变量选择解码器 (oFVSD),用于神经成像中的机器学习. oFVSD包显著提高了对高维数MRI数据的分类和回归任务的解码精度.

关键词:
这就是为什么MRI是MRI.基于声素的形态学 (VBM)期货变量选择前期变量选择机器学习是机器学习.神经解码的神经解码优化的超参数优化.

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