Signal extraction from movies of honeybee brain activity by convex analysis.
Signal extraction from movies of honeybee brain activity by convex analysis.
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通过凸分析从蜜蜂大脑活动的电影中提取信号。
DOI：
10.1109/iccabs.2012.6182646
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
C. Galizia
中科院分区：
文献类型：
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作者：
M. Strauch;Julia Rein;C. Galizia
钙成像使我们能够从触角叶记录大脑活动的电影，触角叶是蜜蜂大脑负责处理气味信息的区域。在这里，我们提出了一个矩阵分解框架，以自动检测该区域的神经元，并准确地估计它们的信号。基于非负混合模型，算法方法是构造一个包含数据的凸锥。锥体的生成向量是电影中最纯粹、混合最少的时间序列，并用作矩阵因式分解的基础向量。我们证明了以这种方式选择的向量对应于生物信号，并在人工数据和生物数据上对该方法进行了评估。
Calcium-imaging enables us to record movies of brain activity from the antennal lobe, a region of the honeybee brain responsible for processing odor information. Here, we present a matrix factorisation framework to automatically detect the neural units in this region and to accurately estimate their signals. Based on a non-negative mixture model, the algorithmic approach is to construct a convex cone that contains the data. The generating vectors of the cone are the purest, least mixed timeseries from the movie and serve as basis vectors for the matrix factorisation. We show that vectors selected in this way correspond to the biological signals and evaluate the method on both artificial and biological data.