Metadata-Version: 2.1
Name: StimRespFlow
Version: 2.1.1
Home-page: https://github.com/powerfulbean/StimRespFlow
Author: Powerfulbean
Author-email: powerfulbean@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE

# 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)
