Metadata-Version: 2.1
Name: automea
Version: 0.0.4
Summary: Automated analysis of MEA datasets
Author-email: Vinicius Hernandes <viniciusfhernandes@gmail.com>
Project-URL: Homepage, https://gitlab.com/QMAI/papers/autoMEA
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE

# automea


*automea* (Automated analysis of MEA datasets) is a open-source Python package for the analysis of Micro-Electrode Array (MEA) datasets. 

Bursts are detected using the *Max Interval Method*. Users can manually set *Max Interval Parameters*, or can use a machine learning model that dynamically predicts optimal parameters for specific recording times. Several models are distributed with *automea*, and users are free to fine-tune the existing models for their specific needs, or upload new models completely.  

The machine-learning-based burst detection routine is explained in the paper accompanying the package. 
