Text S1 - Practical Measures of Integrated Information for Time-Series Data

Toolbox for computing integrated information as ΦE or ΦAR. ‘phiemvarp.m’ computes ΦE from an MVAR(p) generative model. ‘ARphidata.m’ computes ΦAR ( = ΦE if Gaussian), from stationary time-series data. ‘statdata.m’ creates time-series data from an MVAR(p) generative model. ‘A2b.mat’ contains the connectivity matrix for the optimal network, Fig. 2(b). ‘timereverse.m’ is an m-file for time-reversing the data (required to run ARphidata.m). (0.01 MB ZIP)用于计算整合信息（输出形式为ΦE或ΦAR）的工具箱。`phiemvarp.m` 可基于MVAR(p)（Multivariate Autoregressive Model，多变量自回归模型）生成模型计算ΦE。`ARphidata.m` 可从平稳时间序列数据中计算ΦAR（若数据服从高斯分布，则ΦAR与ΦE等价）。`statdata.m` 可基于MVAR(p)生成模型构建时间序列数据。`A2b.mat` 存储了最优网络的连接矩阵，对应图2(b)。`timereverse.m` 是用于对数据进行时间反转的M文件（运行`ARphidata.m`的必备依赖）。（0.01 MB 压缩包）