StimRespFlow 2.1.6

No project description provided

StimRespFlow

A framework for boosting the implementation of stimulus-response research code in the field of cognitive science and neuroscience

Libraries:

MNE, pyTorch, Sckikit-Learn, SciPy, Numpy, Struct, etc.

Some Initial Idea about the design of this framework

For a normal evaluation of an offline model, always three processes are included: Data Preprocessing (cleaning; filtering; resample); Data Epochs Preparation and Changed to Dataset; Finally run the model;

So maybe at least three "classes" are needed. Which are CRawDataPre; CDataSetPre; CModel;

This framework should help people easily manage these three processes.

Provide time checking protocol in the framework for verfying the brain wave data is correctly aligned with the label (stimuli)