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‎10.5072_zenodo.416801/article.bib

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@article{Bock:2019,
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author = {Pauline Bock and Frédéric Alexandre},
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title = {[Re] The Wisconsin Card Sorting Test: Theoretical analysis and modeling in a neuronal network},
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journal = {ReScience C},
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year = {2019},
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month = {5},
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volume = {5},
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number = {1},
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pages = {{#3}},
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doi = {10.5281/zenodo.3545905},
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url = {https://zenodo.org/record/3545905/files/article.pdf},
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code_url = {},
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code_doi = {},
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data_url = {},
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data_doi = {},
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review_url = {},
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type = {Replication},
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language = {},
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domain = {},
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keywords = {rescience c, rescience x}
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}

‎10.5072_zenodo.416801/article.pdf

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‎10.5072_zenodo.416801/article.yaml

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# To be filled by the author(s) at the time of submission
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# -------------------------------------------------------
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# Title of the article:
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# - For a successful replication, it shoudl be prefixed with "[Re]"
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# - For a failed replication, it should be prefixed with "[¬Re]"
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# - For other article types, no instruction (but please, not too long)
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title: "[Re] The Wisconsin Card Sorting Test: Theoretical analysis and modeling in a neuronal network"
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# List of authors with name, orcid number, email and affiliation
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# Affiliation "*" means contact author
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authors:
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- name: Pauline Bock
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orcid: 0000-0002-9374-8733
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email: pauline.bock.dev@gmail.com
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affiliations: 1,2,3
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- name: Frédéric Alexandre
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orcid: 0000-0002-6113-1878
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email: frederic.alexandre@inria.fr
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affiliations: 2,1,3,* # * is for contact author
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# List of affiliations with code (corresponding to author affiliations), name
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# and address. You can also use these affiliations to add text such as "Equal
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# contributions" as name (with no address).
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affiliations:
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- code: 1
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name: LaBRI, Université de Bordeaux, Institut Polytechnique de Bordeaux,
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Centre National de la Recherche Scientifique, UMR 5800
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address: Talence, France
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- code: 2
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name: INRIA Bordeaux Sud-Ouest
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address: Bordeaux, France
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- code: 3
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name: Institut des Maladies Neurodégénératives, Université de Bordeaux,
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Centre National de la Recherche Scientifique, UMR 5293
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address: Bordeaux, France
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# List of keywords (adding the programming language might be a good idea)
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keywords: rescience c, rescience x
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# Code URL and DOI (url is mandatory for replication, doi after acceptance)
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# You can get a DOI for your code from Zenodo,
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# see https://guides.github.com/activities/citable-code/
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code:
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- url: https://github.com/PaulineBock/WCSTDehaeneChangeux
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- doi: 10.5281/zenodo.3553566
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# Date URL and DOI (optional if no data)
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data:
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- url:
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- doi:
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# Information about the original article that has been replicated
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replication:
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- cite: >
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Dehaene, S., & Changeux, J. P. (1991). The Wisconsin Card Sorting Test: Theoretical analysis and modeling in a neuronal network. Cerebral cortex, 1(1), 62-79.
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- bib: dehaene1991wisconsin
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- url: https://academic.oup.com/cercor/article-abstract/1/1/62/408917
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- doi: https://doi.org/10.1093/cercor/1.1.62
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# Don't forget to surround abstract with double quotes
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abstract: "Neuropsychologists commonly use the Wisconsin Card
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Sorting Test as a test of the integrity of frontal lobe
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functions. However, an account of its range of validity
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and of the neuronal mechanisms involved is lacking. We
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analyze the test at 3 different levels. First, the different
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versions of the test are described, and the results obtained
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with normal subjects and brain-lesioned patients
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are reviewed. Second, a computational analysis is used
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to reveal what algorithms may pass the test, and to
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predict their respective performances. At this stage, 3
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cognitive components are isolated that may critically
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contribute to performance: the ability to change the
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current rule when negative reward occurs, the capacity
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to memorize previously tested rules in order to avoid
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testing them twice, and the possibility of rejecting some
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rules a priori by reasoning. Third, a model neuronal
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network embodying these 3 components is described.
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The coding units are clusters of neurons organized in
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layers, or assemblies. A sensorimotor loop enables the
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network to sort the input cards according to several
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criteria (color, form, etc.). A higher-level assembly of
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rule-coding clusters codes for the currently tested rule,
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which shifts when negative reward is received. Internal
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testing of the possible rules, analogous to a reasoning
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process, also occurs, by means of an endogenous autoevaluation
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loop. When lesioned, the model reproduces
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the behavior of frontal lobe patients. Plausible biological
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or molecular implementations are presented for several
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of its components."
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# Bibliography file (yours)
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bibliography: bibliography.bib
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# Type of the article
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# Type can be:
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# * Editorial
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# * Letter
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# * Replication
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type: Replication
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# Scientific domain of the article (e.g. Computational Neuroscience)
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# (one domain only & try to be not overly specific)
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domain: Computational Neuroscience
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# Coding language (main one only if several)
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language: Python
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# To be filled by the author(s) after acceptance
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# -----------------------------------------------------------------------------
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# For example, the URL of the GitHub issue where review actually occured
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review:
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- url: https://github.com/ReScience/submissions/issues/7
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contributors:
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- name: Olivia Guest
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orcid: 0000-0002-1891-0972
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role: editor
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- name: Andrea Caso
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orcid: 0000-0003-4904-3610
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role: reviewer
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- name: Qihong Lu
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orcid:
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role: reviewer
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# This information will be provided by the editor
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dates:
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- received: September 5, 2019
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- accepted: October 8, 2019
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- published: December 9, 2019
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# This information will be provided by the editor
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article:
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- number: 3 # Article number will be automatically assigned during publication
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- doi: 10.5281/zenodo.3545905 # DOI from Zenodo
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- url: https://zenodo.org/record/3545905/files/ReScience_Dehaene.pdf # Final PDF URL (Zenodo or rescience website?)
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# - doi: 10.5072/zenodo.416801
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# - url: https://sandbox.zenodo.org/record/416801/files/ReScience_Dehaene.pdf
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# This information will be provided by the editor
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journal:
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- name: "ReScience C"
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- issn: ISSN 2430-3658
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- volume: 5
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- issue: 1

‎10.5281_zenodo.3538217/article.bib

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@Article {Larisch:2019,
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author = {Rene Larisch},
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title = {{[Re] Connectivity reflects coding a model of voltage-based STDP with homeostasis}},
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journal = {ReScience C},
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year = {2019},
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month = {11},
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volume = {5},
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number = {3},
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pages = {{#2}},
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doi = {10.5281/zenodo.3538217},
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url = {https://zenodo.org/record/3538217/files/article.pdf},
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code_url = {https://github.com/rLarisch/ReScience-submission/tree/Larisch-2019/code},
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code_doi = {},
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data_url = {},
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data_doi = {},
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review_url = {https://github.com/ReScience/ReScience-submission/pull/57#issuecomment-549728501},
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type = {Replication},
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language = {Python},
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domain = {Computational Neuroscience},
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keywords = {Spike Timing-Dependent Plasticity (STDP), Computational Neuroscience, Unsupervised Learning, Python}
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}

‎10.5281_zenodo.3538217/article.pdf

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‎10.5281_zenodo.3538217/article.yaml

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# To be filled by the author(s) at the time of submission
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# -------------------------------------------------------
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# Title of the article:
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# - For a successful replication, it shoudl be prefixed with "[Re]"
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# - For a failed replication, it should be prefixed with "[¬Re]"
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# - For other article types, no instruction (but please, not too long)
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title: "[Re] Connectivity reflects coding a model of voltage-based STDP with
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homeostasis"
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# List of authors with name, orcid number, email and affiliation
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# Affiliation "*" means contact author
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authors:
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- name: Rene Larisch
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orcid:
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email: rene.larisch@informatik.tu-chemnitz.de
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affiliations: 1,*
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# List of affiliations with code (corresponding to author affiliations), name
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# and address. You can also use these affiliations to add text such as "Equal
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# contributions" as name (with no address).
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affiliations:
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- code: 1
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name: Professorship for Artificial Intelligence, Department of Computer Science, Chemnitz University of Technology
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address: D-09107 Chemnitz, Germany
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# List of keywords (adding the programming language might be a good idea)
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keywords: Spike Timing-Dependent Plasticity (STDP), Computational Neuroscience, Unsupervised Learning, Python
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# Code URL and DOI (url is mandatory for replication, doi after acceptance)
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# You can get a DOI for your code from Zenodo,
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# see https://guides.github.com/activities/citable-code/
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code:
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- url: https://github.com/rLarisch/ReScience-submission/tree/Larisch-2019/code
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- doi:
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# Date URL and DOI (optional if no data)
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data:
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- url:
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- doi:
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# Information about the original article that has been replicated
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replication:
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- cite: Connectivity reflects coding a model of voltage-based STDP with homeostasis,
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C.Clopath, L. Buesing, E.Vasilaki and W. Gerstner, Nature Neuroscience 13.3 (2010), pp. 344-352 # Full textual citation
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- bib: # Bibtex key (if any) in your bibliography file
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- url: https://www.nature.com/articles/nn.2479 # URL to the PDF, try to link to a non-paywall version
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- doi: 10.1038/nn.2479 # Regular digital object identifier
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# Don't forget to surround abstract with double quotes
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abstract: "Since the first description of spike timing-dependent plasticity (STDP), different models
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of STDP have been published to reproduce different experimental findings.
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Clopath et al. (2010) introduced a STDP model which is able to reproduce the experimental findings of triplet studies.
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They implemented a homeostatic mechanism to control the level of generated LTD, based on the relationship between the average postsynaptic membrane
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potential and a reference value. With this voltage-based STDP rule thei reproduce a wide range of physiological experiments.
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We here present a reimplementation of the Clopath et al . (2010) learning rule in Python with the help of the neuro-simulator ANNarchy."
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# Bibliography file (yours)
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bibliography: bibliography.bib
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# Type of the article
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# Type can be:
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# * Editorial
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# * Letter
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# * Replication
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type: Replication
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# Scientific domain of the article (e.g. Computational Neuroscience)
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# (one domain only & try to be not overly specific)
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domain: Computational Neuroscience
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# Coding language (main one only if several)
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language: Python
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# To be filled by the author(s) after acceptance
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# -----------------------------------------------------------------------------
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# For example, the URL of the GitHub issue where review actually occured
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review:
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- url: https://github.com/ReScience/ReScience-submission/pull/57#issuecomment-549728501
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contributors:
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- name: Georgios Detorakis
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orcid: 0000-0001-5891-1702
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role: editor
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- name: Christian Jarvers
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orcid: 0000-0003-0062-9776
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role: reviewer
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- name: Andrew P. Davison
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orcid: 0000-0002-4793-7541
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role: reviewer
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# This information will be provided by the editor
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dates:
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- received: November 1, 2018
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- accepted: November 4, 2019
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- published: November 12, 2019
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# This information will be provided by the editor
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article:
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- number: 2
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- doi: 10.5281/zenodo.3538217
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- url: https://zenodo.org/record/3538217/files/article.pdf
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# This information will be provided by the editor
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journal:
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- name: "ReScience C"
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- issn: 2430-3658
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- volume: 5
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- issue: 3

‎10.5281_zenodo.3630224/article.bib

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@Article {McBane:2020,
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author = {George C. McBane},
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title = {{[Rp] Reproduction of interaction second virial coefficient calculation for H$_2$--CO interactions [J. Chem. Phys. vol. 112, 4417 (2000)]}},
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journal = {ReScience C},
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year = {2020},
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month = {1},
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volume = {6},
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number = {1},
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pages = {{#1}},
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doi = {10.5281/zenodo.3630224},
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url = {https://zenodo.org/record/3630224/files/article.pdf},
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code_url = {http://faculty.gvsu.edu/mcbaneg/virial6-resciencec.zip},
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code_doi = {},
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data_url = {},
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data_doi = {},
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review_url = {},
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type = {Reproduction},
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language = {Fortran},
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domain = {Chemical Physics},
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keywords = {rescience c, chemical physics, potential energy surfaces, virial coefficients, Fortran}
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}

‎10.5281_zenodo.3630224/article.pdf

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