Skip to content

Commit 746f03e

Browse files
rougierrougier
committed
Added entry 10.5281/zenodo.4655870
1 parent 3e24c50 commit 746f03e

File tree

3 files changed

+153
-0
lines changed

3 files changed

+153
-0
lines changed

‎10.5281_zenodo.4655870/article.bib

+22
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,22 @@
1+
@Article {Boraud:2021,
2+
author = {Theophile Boraud and Anthony Strock},
3+
title = {{[Re] A Neurodynamical Model for Working Memory}},
4+
journal = {ReScience C},
5+
year = {2021},
6+
month = {4},
7+
volume = {7},
8+
number = {1},
9+
pages = {{#1}},
10+
doi = {10.5281/zenodo.4655870},
11+
url = {https://zenodo.org/record/4655870/files/article.pdf},
12+
code_url = {https://github.com/theoboraud/JaegerESN},
13+
code_doi = {},
14+
code_swh = {},
15+
data_url = {},
16+
data_doi = {},
17+
review_url = {https://github.com/ReScience/submissions/issues/8},
18+
type = {Replication},
19+
language = {Python},
20+
domain = {Computational Neuroscience},
21+
keywords = {Recurrent Neural Networks, Echo State Networks, Working Memory}
22+
}

‎10.5281_zenodo.4655870/article.pdf

653 KB
Binary file not shown.

‎10.5281_zenodo.4655870/article.yaml

+131
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,131 @@
1+
# To be filled by the author(s) at the time of submission
2+
# -------------------------------------------------------
3+
4+
# Title of the article:
5+
# - For a successful replication, it shoudl be prefixed with "[Re]"
6+
# - For a failed replication, it should be prefixed with "[¬Re]"
7+
# - For other article types, no instruction (but please, not too long)
8+
title: "[Re] A Neurodynamical Model for Working Memory"
9+
10+
# List of authors with name, orcid number, email and affiliation
11+
# Affiliation "*" means contact author
12+
authors:
13+
- name: Theophile Boraud
14+
orcid: 0000-0003-0388-0392
15+
email: [email protected]
16+
affiliations: 1,4,* # * is for contact author
17+
18+
- name: Anthony Strock
19+
orcid: 0000-0002-6725-561X
20+
email: [email protected]
21+
affiliations: 1,2,3
22+
23+
# List of affiliations with code (corresponding to author affiliations), name
24+
# and address. You can also use these affiliations to add text such as "Equal
25+
# contributions" as name (with no address).
26+
affiliations:
27+
- code: 1
28+
name: INRIA Bordeaux Sud-Ouest
29+
address: Bordeaux, France
30+
31+
- code: 2
32+
name: LaBRI, Université de Bordeaux, Institut Polytechnique de Bordeaux,
33+
Centre National de la Recherche Scientifique, UMR 5800
34+
address: Talence, France
35+
36+
- code: 3
37+
name: Institut des Maladies Neurodégénératives, Université de Bordeaux,
38+
Centre National de la Recherche Scientifique, UMR 5293
39+
address: Bordeaux, France
40+
41+
- code: 4
42+
name: Department of Computer Science, University of Warwick
43+
address: Coventry, United Kingdoms
44+
45+
46+
# List of keywords (adding the programming language might be a good idea)
47+
keywords: Recurrent Neural Networks, Echo State Networks, Working Memory
48+
49+
# Code URL and DOI (url is mandatory for replication, doi after acceptance)
50+
# You can get a DOI for your code from Zenodo,
51+
# see https://guides.github.com/activities/citable-code/
52+
code:
53+
- url: https://github.com/theoboraud/JaegerESN
54+
- doi:
55+
56+
# Date URL and DOI (optional if no data)
57+
data:
58+
- url:
59+
- doi:
60+
61+
# Information about the original article that has been replicated
62+
replication:
63+
- cite: Pascanu, R., & Jaeger, H. (2011). A neurodynamical model for working memory. Neural networks, 24(2), 199-207. # Full textual citation
64+
- bib: # Bibtex key (if any) in your bibliography file
65+
- url: https://www.sciencedirect.com/science/article/abs/pii/S0893608010001899 # URL to the PDF, try to link to a non-paywall version
66+
- doi: 10.1016/j.neunet.2010.10.003 # Regular digital object identifier
67+
68+
# Don't forget to surround abstract with double quotes
69+
abstract: "Neurodynamical models of working memory (WM) should provide mechanisms
70+
for storing, maintaining, retrieving, and deleting information. Raznan Pascanu and
71+
Herbert Jaeger have suggested that memory states correspond, intuitively in terms of
72+
nonlinear dynamics, to attractors in an input-driven system, giving a simple WM model
73+
training all performance modes into a Recurrent Neural Network (RNN) of the Echo State
74+
Network (ESN) type.
75+
In this replication, we reproduced this WM model in Python in order to see wether or
76+
not these observations could be observed on a slightly different model made from scratch."
77+
78+
# Bibliography file (yours)
79+
bibliography: bibliography.bib
80+
81+
# Type of the article
82+
# Type can be:
83+
# * Editorial
84+
# * Letter
85+
# * Replication
86+
type: Replication
87+
88+
# Scientific domain of the article (e.g. Computational Neuroscience)
89+
# (one domain only & try to be not overly specific)
90+
domain: Computational Neuroscience
91+
92+
# Coding language (main one only if several)
93+
language: Python
94+
95+
96+
# To be filled by the author(s) after acceptance
97+
# -----------------------------------------------------------------------------
98+
99+
# For example, the URL of the GitHub issue where review actually occured
100+
review:
101+
- url: https://github.com/ReScience/submissions/issues/8
102+
103+
contributors:
104+
- name: Benoît Girard
105+
orcid: 0000-0002-8117-7064
106+
role: editor
107+
- name: Vahid Rostami
108+
orcid: 0000-0002-3851-0220
109+
role: reviewer
110+
- name: Christian Jarvers
111+
orcid: 0000-0003-0062-9776
112+
role: reviewer
113+
114+
# This information will be provided by the editor
115+
dates:
116+
- received: October 24, 2019
117+
- accepted: March 8, 2021
118+
- published: April 1, 2021
119+
120+
# This information will be provided by the editor
121+
article:
122+
- number: 1
123+
- doi: 10.5281/zenodo.4655870
124+
- url: https://zenodo.org/record/4655870/files/article.pdf
125+
126+
# This information will be provided by the editor
127+
journal:
128+
- name: "ReScience C"
129+
- issn: 2430-3658
130+
- volume: 7
131+
- issue: 1

0 commit comments

Comments
 (0)