Metadata-Version: 2.1
Name: MEArec
Version: 1.4.0
Summary: Fast and customizable simulation of extracellular recordings on Multi-Electrode-Arrays.
Home-page: https://github.com/alejoe91/MEArec
Author: Alessio Buccino
Author-email: alessiob@ifi.uio.no
License: UNKNOWN
Description: [![Build Status](https://travis-ci.org/alejoe91/MEArec.svg?branch=master)](https://travis-ci.org/alejoe91/MEArec) [![Coverage Status](https://coveralls.io/repos/github/alejoe91/MEArec/badge.svg?branch=master&service=github)](https://coveralls.io/github/alejoe91/MEArec?branch=master) [![PyPI version](https://badge.fury.io/py/MEArec.svg)](https://badge.fury.io/py/MEArec)
        
        # 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/alejoe91/MEArec.git`
        
        ## Installation
        
        The MEArec package can be installed with:
        
        ```
        pip install MEArec
        ```
        or, from the cloned folder:
        
        ```
        python setup.py develop
        ```
        
        ## Documentation
        
        The MEArec detailed documentation is here: https://mearec.readthedocs.io/en/latest/
        
        ### Reference
        
        For further information please refer to the biorXiv preprint: https://www.biorxiv.org/content/10.1101/691642v1
        
        If you use the software, please cite:
        
        ```
        @article{buccino2019mearec,
          title={MEArec: a fast and customizable testbench simulator for ground-truth extracellular spiking activity},
          author={Buccino, Alessio P and Einevoll, Gaute T},
          journal={bioRxiv},
          pages={691642},
          year={2019},
          publisher={Cold Spring Harbor Laboratory}
        }
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)  
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
