Evaluating linear model frameworks for directed predictive influence estimation from hypothalamic calcium imaging

doi:10.1016/j.jneumeth.2026.110749

2026-03-19

Xandre Clementsmith

Sorinel A. Oprisan *

Carlos Blanco‐Centurion

Priyattam J. Shiromani

DOI：10.1016/j.jneumeth.2026.110749

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摘要

En 中文

• 多预测变量模型在8个数据集中优于配对模型（ΔR2=＋0.17, p <0.001）。 • 正则化和非正则化方法得到相同的估计值（r >0.94）。 • 使用500个打乱网络的零基准验证证实了2-3倍于随机水平的表现。 • 将定向预测性影响（DPI）定义为可解释的连接性度量。 • 经交叉验证的框架在不同动物和不同行为状态之间具有泛化能力。

Keyword:

Melanin-concentrating hormone neurons

Calcium imaging

Functional connectivity

Regularization

Linear models

Model benchmarking

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Journal of Neuroscience Methods

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2.3

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500

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college of charleston

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126

论文数: 83

被引数: 0

medical university of south carolina

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论文数: 925

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