Metadata-Version: 2.1
Name: srplasticity
Version: 0.0.1
Summary: UNKNOWN
Home-page: https://github.com/nauralcodinglab/srplasticity.git
Author: Julian Rossbroich, Daniel Trotter, John Beninger, Richard Naud
Author-email: jbeni014@uottawa.ca
License: GPLv3
Description: Copyright (C) 2021 Julian Rossbroich, Daniel Trotter, John Beninger, Richard Naud
        
            This program is free software: you can redistribute it and/or modify
            it under the terms of the GNU General Public License as published by
            the Free Software Foundation, either version 3 of the License, or
            (at your option) any later version.
        
            This program is distributed in the hope that it will be useful,
            but WITHOUT ANY WARRANTY; without even the implied warranty of
            MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
            GNU General Public License for more details.
        
            You should have received a copy of the GNU General Public License
            along with this program.  If not, see <https://www.gnu.org/licenses/>.
        
        # Spike Response Plasticity
        
        Implementation of a linear-nonlinear model of short-term plasticity as described in
        [Linear-Nonlinear Cascades Capture Synaptic Dynamics](https://www.biorxiv.org/content/early/2021/01/27/2020.06.04.133892).
        
        ## Repository Structure
        
        - The **srplasticity** package contains all source code and implements
        the SRP model and the associated parameter inference.
        - The **examples** directory contains use examples and tutorials (currently in progress)
        - The **scripts** directory contains the scripts to reproduce the figures in the manuscript
        - The **data** directory contains the data used in the manuscript figures and the use examples.
        
        ## Preprint Citation
        
        <pre><code>@article {Rossbroich2020.06.04.133892,
        	author = {Rossbroich, Julian and Trotter, Daniel and Beninger, John and T{\'o}th, Katalin and Naud, Richard},
        	title = {Linear-Nonlinear Cascades Capture Synaptic Dynamics},
        	year = {2021},
        	publisher = {Cold Spring Harbor Laboratory},
        	URL = {https://www.biorxiv.org/content/early/2021/01/27/2020.06.04.133892},
        	eprint = {https://www.biorxiv.org/content/early/2021/01/27/2020.06.04.133892.full.pdf},
        	journal = {bioRxiv}
        }
        </code></pre>
        
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
