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======Workflow and model architecture======

======Workflow and model architecture======

The following figure shows the entire model framework of NIS+. Figure a is the input of the model: time series data, such as trajectory sequence, continuous image sequence, and EEG time series data; Figure c is the output of the model, which includes causal emergence measures, macroscopic dynamics, emergent patterns, and coarse-graining strategies; Figure b is the specific model architecture. Different from the NIS method, two parts of reverse dynamics and reweighting technology are added.

The following figure shows the entire model framework of NIS+. Figure a is the input of the model: time series data, such as trajectory sequence, continuous image sequence, and EEG time series data; Figure c is the output of the model, which includes the degree of causal emergence, macroscopic dynamics, emergent patterns, and coarse-graining strategies; Figure b is the specific model architecture. Different from the NIS method, two parts of reverse dynamics and reweighting technology are added.

[[文件:NIS+.png|居左|600x600像素|替代=NIS模型框架图|NIS+模型框架图]]

[[文件:NIS+.png|居左|600x600像素|替代=NIS模型框架图|NIS+模型框架图]]