MEArec: Fast and customizable simulation of extracellular recordings on Multi-Electrode-Arrays
MEArec is a package for generating biophysical extracellular neural recording on Multi-Electrode Arrays (MEA). The recording generations combines a Extracellular Action Potentials (EAP) templates generation and spike trains generation. The recordings are built by convoluting and modulating EAP templates with spike trains and adding noise.
To clone this repo open your terminal and run:
git clone https://github.com/SpikeInterface/MEArec.git
Installation
The MEArec package can be installed with:
pip install MEArec
To install from sources, run this from the cloned folder:
pip install -e .
Documentation
The MEArec detailed documentation is here: https://mearec.readthedocs.io/en/latest/
Reference
For further information please refer to the open-access Neuroinformatics article: https://doi.org/10.1007/s12021-020-09467-7
If you use the software, please cite:
@article{buccino2020mearec,
title={Mearec: a fast and customizable testbench simulator for ground-truth extracellular spiking activity},
author={Buccino, Alessio Paolo and Einevoll, Gaute Tomas},
journal={Neuroinformatics},
pages={1--20},
year={2020},
publisher={Springer}
}
1 maintainer
Release files for MEArec 1.11.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mearec-1.11.0.tar.gz | 3.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mearec-1.11.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.8 MB
Release files / mearec-1.11.0.tar.gz
| Download URL | mearec-1.11.0.tar.gz |
|---|---|
| Size | 3.2 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.11.15
|
Release files / mearec-1.11.0-py3-none-any.whl
| Download URL | mearec-1.11.0-py3-none-any.whl |
|---|---|
| Size | 3.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.15
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