Automated analysis of MEA datasets
Project description
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file automea-0.0.4.tar.gz.
File metadata
- Download URL: automea-0.0.4.tar.gz
- Upload date:
- Size: 15.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d8dad3774aa2e67229706855ef0450e701f8d16ff2d511cfa40f27423ab038c0
|
|
| MD5 |
cc65a19f6e812ef4f7de156810c9f776
|
|
| BLAKE2b-256 |
171d5a049fa2fc33b6aeb3c06882bb9c336c65b377b82a1fc7d19df831d8ad9e
|
File details
Details for the file automea-0.0.4-py3-none-any.whl.
File metadata
- Download URL: automea-0.0.4-py3-none-any.whl
- Upload date:
- Size: 15.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
70da74a17ff6daa5fc9679ee7e51311d17045607f673175e845c1f774ef9eb86
|
|
| MD5 |
77444deb23c4e05ab3876b367cc7a153
|
|
| BLAKE2b-256 |
a4aa1123b8292aeea6728446c22b2ef87517fde70f7c5e7cbc69729d9ee9b2f7
|
