rescience_metadata.yaml

# To be filled by the author(s) at the time of submission
# -------------------------------------------------------

# Title of the article:
#  - For a successful replication, it shoudl be prefixed with "[Re]"
#  - For a failed replication, it should be prefixed with "[¬Re]"
#  - For other article types, no instruction (but please, not too long)
title: "[Re] Connectivity reflects coding a model of voltage-based STDP with
        homeostasis"

# List of authors with name, orcid number, email and affiliation
# Affiliation "*" means contact author
authors:
  - name: Rene Larisch
    orcid:
    email: rene.larisch@informatik.tu-chemnitz.de
    affiliations: 1,*

# List of affiliations with code (corresponding to author affiliations), name
# and address. You can also use these affiliations to add text such as "Equal
# contributions" as name (with no address).
affiliations:
  - code:    1
    name:    Professorship for Artificial Intelligence, Department of Computer Science, Chemnitz University of Technology
    address: D-09107 Chemnitz, Germany


# List of keywords (adding the programming language might be a good idea)
keywords: Spike Timing-Dependent Plasticity (STDP), Computational Neuroscience, Unsupervised Learning, Python

# Code URL and DOI (url is mandatory for replication, doi after acceptance)
# You can get a DOI for your code from Zenodo,
#   see https://guides.github.com/activities/citable-code/
code:
  - url: https://github.com/rLarisch/ReScience-submission/tree/Larisch-2019/code
  - doi:

# Date URL and DOI (optional if no data)
data:
  - url:
  - doi:

# Information about the original article that has been replicated
replication:
 - cite: Connectivity reflects coding a model of voltage-based STDP with homeostasis,
         C.Clopath, L. Buesing, E.Vasilaki and W. Gerstner, Nature Neuroscience 13.3 (2010), pp. 344-352 # Full textual citation
 - bib:  # Bibtex key (if any) in your bibliography file
 - url:   https://www.nature.com/articles/nn.2479 # URL to the PDF, try to link to a non-paywall version
 - doi:  10.1038/nn.2479 # Regular digital object identifier

# Don't forget to surround abstract with double quotes
abstract: "Since the first description of spike timing-dependent plasticity (STDP), different models
            of STDP have been published to reproduce different experimental findings.
            Clopath et al. (2010) introduced a STDP model which is able to reproduce the experimental findings of triplet studies.
            They implemented a homeostatic mechanism to control the level of generated LTD, based on the relationship between the average postsynaptic membrane
potential and a reference value. With this voltage-based STDP rule thei reproduce a wide range of physiological experiments.
We here present a reimplementation of the Clopath et al . (2010) learning rule in Python with the help of the neuro-simulator ANNarchy."

# Bibliography file (yours)
bibliography: bibliography.bib

# Type of the article
# Type can be:
#  * Editorial
#  * Letter
#  * Replication
type: Replication

# Scientific domain of the article (e.g. Computational Neuroscience)
#  (one domain only & try to be not overly specific)
domain: Computational Neuroscience

# Coding language (main one only if several)
language: Python


# To be filled by the author(s) after acceptance
# -----------------------------------------------------------------------------

# For example, the URL of the GitHub issue where review actually occured
review:
  - url: https://github.com/ReScience/ReScience-submission/pull/57#issuecomment-549728501

contributors:
  - name: Georgios Detorakis
    orcid: 0000-0001-5891-1702 
    role: editor
  - name: Christian Jarvers 
    orcid: 0000-0003-0062-9776
    role: reviewer
  - name: Andrew P. Davison
    orcid: 0000-0002-4793-7541
    role: reviewer

# This information will be provided by the editor
dates:
  - received:  November 1, 2018
  - accepted:  November 4, 2019
  - published: November 12, 2019

# This information will be provided by the editor
article:
  - number: 2
  - doi: 10.5281/zenodo.3538217 
  - url: https://zenodo.org/record/3538217/files/article.pdf

# This information will be provided by the editor
journal:
  - name:   "ReScience C"
  - issn:   2430-3658
  - volume: 5
  - issue:  3