Feature based dependence detection - Simulation results

This repository contains simulation data used to evaluate the effectiveness of the feature-based pairwise dependency detection method presented in the manuscript titled "A feature-based information-theoretic approach for detecting interpretable, long-timescale pairwise interactions from time series" (manuscript in preparation).<br>The datasets correspond to the analyses underlying the figures in the current draft.<br><br>featureBasedDependency_simulation_results — raw output from all simulation runs<br>AR3_captureRatevsNoise — data underlying Figure 5a.<br>bimodalSpiking_captureRatevsNoise — data underlying Figure 5b.<br>AR3_captureRatevsDrivingTimescale — data underlying Figure 6a.<br>bimodalSpiking_captureRatevsDrivingTimescale — data underlying Figure 6b.<br>AR3_captureRatevsCapturingTimescale — data underlying Figure 7a.<br>bimodalSpiking_captureRatevsCapturingTimescale — data underlying Figure 7b.<br>

本仓库包含用于评估基于特征的成对依赖检测方法有效性的仿真数据，该方法出自题为《基于特征的信息论方法：从时间序列中检测可解释的长时标成对交互》（待投稿手稿）的研究论文。<br>本数据集对应当前手稿草稿中各图表所依托的分析结果。<br><br>featureBasedDependency_simulation_results — 所有仿真运行的原始输出结果<br>AR3_captureRatevsNoise — 图5a所依托的实验数据<br>bimodalSpiking_captureRatevsNoise — 图5b所依托的实验数据<br>AR3_captureRatevsDrivingTimescale — 图6a所依托的实验数据<br>bimodalSpiking_captureRatevsDrivingTimescale — 图6b所依托的实验数据<br>AR3_captureRatevsCapturingTimescale — 图7a所依托的实验数据<br>bimodalSpiking_captureRatevsCapturingTimescale — 图7b所依托的实验数据