Reducing Brain Signal Noise in the Prediction of Economic Choices: A Case Study in Neuroeconomics.
Reducing Brain Signal Noise in the Prediction of Economic Choices: A Case Study in Neuroeconomics.
复制标题
DOI：
10.3389/fnins.2017.00704
复制
发表时间：
2017
影响因子：
4.3
通讯作者：
Pourahmadi M
中科院分区：
文献类型：
--
作者：
Sundararajan RR;Palma MA;Pourahmadi M
为了减少大脑信号的噪音，神经经济学实验通常会收集从几个人那里收集的数百个试验的数据。这与实验和行为经济学中的简单和可控设计原则形成了鲜明对比。我们使用平稳子空间分析(SSA)技术的一种频域变体，记为DSSA，来滤除脑电信号中的噪声(非平稳源)。大脑信号中的非平稳信号源与与实验任务无关的精神状态变化有关。DSA是一种强大的工具，可以减少神经经济学实验中每个参与者所需的试验次数，也可以提高经济选择任务的预测性能。对于单个试验，当使用动态随机序列分析作为一种降噪技术时，预测模型在食品零食选择实验中的总体准确率提高了约10%，灵敏度和特异度分别提高了约20%和AUC约30%。
In order to reduce the noise of brain signals, neuroeconomic experiments typically aggregate data from hundreds of trials collected from a few individuals. This contrasts with the principle of simple and controlled designs in experimental and behavioral economics. We use a frequency domain variant of the stationary subspace analysis (SSA) technique, denoted as DSSA, to filter out the noise (nonstationary sources) in EEG brain signals. The nonstationary sources in the brain signal are associated with variations in the mental state that are unrelated to the experimental task. DSSA is a powerful tool for reducing the number of trials needed from each participant in neuroeconomic experiments and also for improving the prediction performance of an economic choice task. For a single trial, when DSSA is used as a noise reduction technique, the prediction model in a food snack choice experiment has an increase in overall accuracy by around 10% and in sensitivity and specificity by around 20% and in AUC by around 30%, respectively.
登录
查看更多内容
影响因子：
56.9
作者：
Hare, Todd A.;Camerer, Colin F.;Rangel, Antonio
通讯作者：
Rangel, Antonio
影响因子：
6.1
作者：
Venkatraman, Vinod;Dimoka, Angelika;Winer, Russell S.
通讯作者：
Winer, Russell S.
影响因子：
0.9
作者：
Sundararajan, Raanju Ragavendar;Pourahmadi, Mohsen
通讯作者：
Pourahmadi, Mohsen
影响因子：
8.6
作者：
von Buenau, Paul;Meinecke, Frank C.;Mueller, Klaus-Robert
通讯作者：
Mueller, Klaus-Robert
影响因子：
3
作者：
Demiralp, Tamer;Bayraktaroglu, Zubeyir;Herrmann, Christoph S.
通讯作者：
Herrmann, Christoph S.