-
Notifications
You must be signed in to change notification settings - Fork 16
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #4306 from openjournals/joss.05321
Merging automatically
- Loading branch information
Showing
5 changed files
with
1,246 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,385 @@ | ||
<?xml version="1.0" encoding="UTF-8"?> | ||
<doi_batch xmlns="http://www.crossref.org/schema/5.3.1" | ||
xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" | ||
xmlns:rel="http://www.crossref.org/relations.xsd" | ||
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" | ||
version="5.3.1" | ||
xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd"> | ||
<head> | ||
<doi_batch_id>20230613T085024-7ba720787ea4dd0ba5011d7cb37db6e8e90341b6</doi_batch_id> | ||
<timestamp>20230613085024</timestamp> | ||
<depositor> | ||
<depositor_name>JOSS Admin</depositor_name> | ||
<email_address>admin@theoj.org</email_address> | ||
</depositor> | ||
<registrant>The Open Journal</registrant> | ||
</head> | ||
<body> | ||
<journal> | ||
<journal_metadata> | ||
<full_title>Journal of Open Source Software</full_title> | ||
<abbrev_title>JOSS</abbrev_title> | ||
<issn media_type="electronic">2475-9066</issn> | ||
<doi_data> | ||
<doi>10.21105/joss</doi> | ||
<resource>https://joss.theoj.org/</resource> | ||
</doi_data> | ||
</journal_metadata> | ||
<journal_issue> | ||
<publication_date media_type="online"> | ||
<month>06</month> | ||
<year>2023</year> | ||
</publication_date> | ||
<journal_volume> | ||
<volume>8</volume> | ||
</journal_volume> | ||
<issue>86</issue> | ||
</journal_issue> | ||
<journal_article publication_type="full_text"> | ||
<titles> | ||
<title>stimupy: A Python package for creating stimuli in | ||
vision science</title> | ||
</titles> | ||
<contributors> | ||
<person_name sequence="first" contributor_role="author"> | ||
<given_name>Lynn</given_name> | ||
<surname>Schmittwilken</surname> | ||
<ORCID>https://orcid.org/0000-0003-3621-9576</ORCID> | ||
</person_name> | ||
<person_name sequence="additional" | ||
contributor_role="author"> | ||
<given_name>Marianne</given_name> | ||
<surname>Maertens</surname> | ||
</person_name> | ||
<person_name sequence="additional" | ||
contributor_role="author"> | ||
<given_name>Joris</given_name> | ||
<surname>Vincent</surname> | ||
<ORCID>https://orcid.org/0000-0001-6882-5584</ORCID> | ||
</person_name> | ||
</contributors> | ||
<publication_date> | ||
<month>06</month> | ||
<day>13</day> | ||
<year>2023</year> | ||
</publication_date> | ||
<pages> | ||
<first_page>5321</first_page> | ||
</pages> | ||
<publisher_item> | ||
<identifier id_type="doi">10.21105/joss.05321</identifier> | ||
</publisher_item> | ||
<ai:program name="AccessIndicators"> | ||
<ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
<ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
<ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
</ai:program> | ||
<rel:program> | ||
<rel:related_item> | ||
<rel:description>Software archive</rel:description> | ||
<rel:inter_work_relation relationship-type="references" identifier-type="doi">10.17605/OSF.IO/Z439V</rel:inter_work_relation> | ||
</rel:related_item> | ||
<rel:related_item> | ||
<rel:description>GitHub review issue</rel:description> | ||
<rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/5321</rel:inter_work_relation> | ||
</rel:related_item> | ||
</rel:program> | ||
<doi_data> | ||
<doi>10.21105/joss.05321</doi> | ||
<resource>https://joss.theoj.org/papers/10.21105/joss.05321</resource> | ||
<collection property="text-mining"> | ||
<item> | ||
<resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.05321.pdf</resource> | ||
</item> | ||
</collection> | ||
</doi_data> | ||
<citation_list> | ||
<citation key="aguilar.maertens.ea2022"> | ||
<article_title>Characterizing perceptual brightness scales | ||
for White’s effect using conjoint measurement</article_title> | ||
<author>Aguilar</author> | ||
<journal_title>Journal of Vision</journal_title> | ||
<volume>22</volume> | ||
<doi>10.1167/jov.22.14.3519</doi> | ||
<cYear>2022</cYear> | ||
<unstructured_citation>Aguilar, G., Maertens, M., & | ||
Vincent, J. (2022). Characterizing perceptual brightness scales for | ||
White’s effect using conjoint measurement. Journal of Vision, 22, 3519. | ||
https://doi.org/10.1167/jov.22.14.3519</unstructured_citation> | ||
</citation> | ||
<citation key="brainard1997"> | ||
<article_title>The psychophysics toolbox</article_title> | ||
<author>Brainard</author> | ||
<journal_title>Spatial vision</journal_title> | ||
<issue>4</issue> | ||
<volume>10</volume> | ||
<doi>10.1163/156856897X00357</doi> | ||
<cYear>1997</cYear> | ||
<unstructured_citation>Brainard, D. H. (1997). The | ||
psychophysics toolbox. Spatial Vision, 10(4), 433–436. | ||
https://doi.org/10.1163/156856897X00357</unstructured_citation> | ||
</citation> | ||
<citation key="carney1999"> | ||
<article_title>Development of an image/threshold database | ||
for designing and testing human vision models</article_title> | ||
<author>Carney</author> | ||
<journal_title>Human vision and electronic imaging | ||
IV</journal_title> | ||
<volume>3644</volume> | ||
<doi>10.1117/12.348473</doi> | ||
<cYear>1999</cYear> | ||
<unstructured_citation>Carney, T., Klein, S. A., Tyler, C. | ||
W., Silverstein, A. D., Beutter, B., Levi, D., Watson, A. B., Reeves, A. | ||
J., Norcia, A. M., Chen, C.-C., & others. (1999). Development of an | ||
image/threshold database for designing and testing human vision models. | ||
Human Vision and Electronic Imaging IV, 3644, 542–551. | ||
https://doi.org/10.1117/12.348473</unstructured_citation> | ||
</citation> | ||
<citation key="deng2009"> | ||
<article_title>Imagenet: A large-scale hierarchical image | ||
database</article_title> | ||
<author>Deng</author> | ||
<journal_title>IEEE conference on computer vision and | ||
pattern recognition</journal_title> | ||
<doi>10.1109/CVPR.2009.5206848</doi> | ||
<cYear>2009</cYear> | ||
<unstructured_citation>Deng, J., Dong, W., Socher, R., Li, | ||
L.-J., Li, K., & Fei-Fei, L. (2009). Imagenet: A large-scale | ||
hierarchical image database. IEEE Conference on Computer Vision and | ||
Pattern Recognition, 248–255. | ||
https://doi.org/10.1109/CVPR.2009.5206848</unstructured_citation> | ||
</citation> | ||
<citation key="harris2020"> | ||
<article_title>Array programming with NumPy</article_title> | ||
<author>Harris</author> | ||
<journal_title>Nature</journal_title> | ||
<issue>7825</issue> | ||
<volume>585</volume> | ||
<doi>10.1038/s41586-020-2649-2</doi> | ||
<cYear>2020</cYear> | ||
<unstructured_citation>Harris, C. R., Millman, K. J., Walt, | ||
S. J. van der, Gommers, R., Virtanen, P., Cournapeau, D., Wieser, E., | ||
Taylor, J., Berg, S., Smith, N. J., Kern, R., Picus, M., Hoyer, S., | ||
Kerkwijk, M. H. van, Brett, M., Haldane, A., Río, J. F. del, Wiebe, M., | ||
Peterson, P., … Oliphant, T. E. (2020). Array programming with NumPy. | ||
Nature, 585(7825), 357–362. | ||
https://doi.org/10.1038/s41586-020-2649-2</unstructured_citation> | ||
</citation> | ||
<citation key="kluyver2016"> | ||
<article_title>Jupyter notebooks – a publishing format for | ||
reproducible computational workflows</article_title> | ||
<author>Kluyver</author> | ||
<journal_title>Positioning and power in academic publishing: | ||
Players, agents and agendas</journal_title> | ||
<doi>10.3233/978-1-61499-649-1-87</doi> | ||
<cYear>2016</cYear> | ||
<unstructured_citation>Kluyver, T., Ragan-Kelley, B., Pérez, | ||
F., Granger, B., Bussonnier, M., Frederic, J., Kelley, K., Hamrick, J., | ||
Grout, J., Corlay, S., Ivanov, P., Avila, D., Abdalla, S., & | ||
Willing, C. (2016). Jupyter notebooks – a publishing format for | ||
reproducible computational workflows. In F. Loizides & B. Schmidt | ||
(Eds.), Positioning and power in academic publishing: Players, agents | ||
and agendas (pp. 87–90). IOS Press. | ||
https://doi.org/10.3233/978-1-61499-649-1-87</unstructured_citation> | ||
</citation> | ||
<citation key="OCTA"> | ||
<article_title>The order & complexity toolbox for | ||
aesthetics (OCTA): A systematic approach to study the relations between | ||
order, complexity, and aesthetic appreciation</article_title> | ||
<author>Van Geert</author> | ||
<journal_title>Behavior Research Methods</journal_title> | ||
<doi>10.3758/s13428-022-01900-w</doi> | ||
<cYear>2022</cYear> | ||
<unstructured_citation>Van Geert, E., Bossens, C., & | ||
Wagemans, J. (2022). The order & complexity toolbox for aesthetics | ||
(OCTA): A systematic approach to study the relations between order, | ||
complexity, and aesthetic appreciation. Behavior Research Methods. | ||
https://doi.org/10.3758/s13428-022-01900-w</unstructured_citation> | ||
</citation> | ||
<citation key="makowski2021"> | ||
<article_title>A parametric framework to generate visual | ||
illusions using python</article_title> | ||
<author>Makowski</author> | ||
<journal_title>Perception</journal_title> | ||
<issue>11</issue> | ||
<volume>50</volume> | ||
<doi>10.1177/03010066211057347</doi> | ||
<cYear>2021</cYear> | ||
<unstructured_citation>Makowski, D., Lau, Z. J., Pham, T., | ||
Paul B., W., & Annabel C., S. (2021). A parametric framework to | ||
generate visual illusions using python. Perception, 50(11), 950–965. | ||
https://doi.org/10.1177/03010066211057347</unstructured_citation> | ||
</citation> | ||
<citation key="martin2001"> | ||
<article_title>A database of human segmented natural images | ||
and its application to evaluating segmentation algorithms and measuring | ||
ecological statistics</article_title> | ||
<author>Martin</author> | ||
<journal_title>8th IEEE internatinonal conference on | ||
computer vision</journal_title> | ||
<volume>2</volume> | ||
<doi>10.1109/ICCV.2001.937655</doi> | ||
<cYear>2001</cYear> | ||
<unstructured_citation>Martin, D., Fowlkes, C., Tal, D., | ||
& Malik, J. (2001). A database of human segmented natural images and | ||
its application to evaluating segmentation algorithms and measuring | ||
ecological statistics. 8th IEEE Internatinonal Conference on Computer | ||
Vision, 2, 416–423. | ||
https://doi.org/10.1109/ICCV.2001.937655</unstructured_citation> | ||
</citation> | ||
<citation key="murray2020"> | ||
<article_title>A model of lightness perception guided by | ||
probabilistic assumptions about lighting and reflectance</article_title> | ||
<author>Murray</author> | ||
<journal_title>Journal of Vision</journal_title> | ||
<issue>7</issue> | ||
<volume>20</volume> | ||
<doi>10.1167/jov.20.7.28</doi> | ||
<issn>1534-7362</issn> | ||
<cYear>2020</cYear> | ||
<unstructured_citation>Murray, R. F. (2020). A model of | ||
lightness perception guided by probabilistic assumptions about lighting | ||
and reflectance. Journal of Vision, 20(7), 28. | ||
https://doi.org/10.1167/jov.20.7.28</unstructured_citation> | ||
</citation> | ||
<citation key="murray2021"> | ||
<article_title>Lightness perception in complex | ||
scenes</article_title> | ||
<author>Murray</author> | ||
<journal_title>Annual Review of Vision | ||
Science</journal_title> | ||
<volume>7</volume> | ||
<doi>10.1146/annurev-vision-093019-115159</doi> | ||
<cYear>2021</cYear> | ||
<unstructured_citation>Murray, R. F. (2021). Lightness | ||
perception in complex scenes. Annual Review of Vision Science, 7. | ||
https://doi.org/10.1146/annurev-vision-093019-115159</unstructured_citation> | ||
</citation> | ||
<citation key="peirce2019"> | ||
<article_title>PsychoPy2: Experiments in behavior made | ||
easy</article_title> | ||
<author>Peirce</author> | ||
<journal_title>Behavior research methods</journal_title> | ||
<issue>1</issue> | ||
<volume>51</volume> | ||
<doi>10.3758/s13428-018-01193-y</doi> | ||
<cYear>2019</cYear> | ||
<unstructured_citation>Peirce, J., Gray, J. R., Simpson, S., | ||
MacAskill, M., Hoechenberger, R., Sogo, H., Kastman, E., & Lindelov, | ||
J. K. (2019). PsychoPy2: Experiments in behavior made easy. Behavior | ||
Research Methods, 51(1), 195–203. | ||
https://doi.org/10.3758/s13428-018-01193-y</unstructured_citation> | ||
</citation> | ||
<citation key="schmittwilken2022a"> | ||
<article_title>BRENCH: An open-source framework for | ||
b(r)enchmarking brightness models</article_title> | ||
<author>Schmittwilken</author> | ||
<journal_title>Journal of vision</journal_title> | ||
<volume>22</volume> | ||
<doi>10.1167/jov.22.3.36</doi> | ||
<cYear>2022</cYear> | ||
<unstructured_citation>Schmittwilken, L., Matic, M., | ||
Maertens, M., & Vincent, J. (2022). BRENCH: An open-source framework | ||
for b(r)enchmarking brightness models [Talk]. Journal of Vision, 22, 36. | ||
https://doi.org/10.1167/jov.22.3.36</unstructured_citation> | ||
</citation> | ||
<citation key="schmittwilken2022b"> | ||
<article_title>Fixational eye movements enable robust edge | ||
detection</article_title> | ||
<author>Schmittwilken</author> | ||
<journal_title>Journal of Vision</journal_title> | ||
<issue>8</issue> | ||
<volume>22</volume> | ||
<doi>10.1167/jov.22.8.5</doi> | ||
<cYear>2022</cYear> | ||
<unstructured_citation>Schmittwilken, L., & Maertens, M. | ||
(2022). Fixational eye movements enable robust edge detection. Journal | ||
of Vision, 22(8), 1–12. | ||
https://doi.org/10.1167/jov.22.8.5</unstructured_citation> | ||
</citation> | ||
<citation key="schmittwilken2022c"> | ||
<article_title>Medium spatial frequencies mask edges most | ||
effectively</article_title> | ||
<author>Schmittwilken</author> | ||
<journal_title>Journal of vision</journal_title> | ||
<volume>22</volume> | ||
<doi>10.1167/jov.22.14.4041</doi> | ||
<cYear>2022</cYear> | ||
<unstructured_citation>Schmittwilken, L., & Maertens, M. | ||
(2022). Medium spatial frequencies mask edges most effectively [Poster]. | ||
Journal of Vision, 22. | ||
https://doi.org/10.1167/jov.22.14.4041</unstructured_citation> | ||
</citation> | ||
<citation key="vincent.maertens.ea2021"> | ||
<article_title>Perceptual brightness scales in a White’s | ||
effect stimulus are not captured by multiscale spatial filtering models | ||
of brightness perception</article_title> | ||
<author>Vincent</author> | ||
<journal_title>Journal of Vision</journal_title> | ||
<volume>22</volume> | ||
<doi>10.1167/jov.22.3.20</doi> | ||
<cYear>2022</cYear> | ||
<unstructured_citation>Vincent, J., Maertens, M., & | ||
Aguilar, G. (2022). Perceptual brightness scales in a White’s effect | ||
stimulus are not captured by multiscale spatial filtering models of | ||
brightness perception [Poster]. Journal of Vision, 22, 20. | ||
https://doi.org/10.1167/jov.22.3.20</unstructured_citation> | ||
</citation> | ||
<citation key="vincent.maertens.ea2022"> | ||
<article_title>Perceptual Brightness Scales for White’s | ||
Effect Constrain Computational Models of Brightness | ||
Perception</article_title> | ||
<author>Vincent</author> | ||
<journal_title>Journal of Vision</journal_title> | ||
<volume>22</volume> | ||
<doi>10.1167/jov.22.14.4160</doi> | ||
<cYear>2022</cYear> | ||
<unstructured_citation>Vincent, J., Maertens, M., & | ||
Aguilar, G. (2022). Perceptual Brightness Scales for White’s Effect | ||
Constrain Computational Models of Brightness Perception. Journal of | ||
Vision, 22, 4160. | ||
https://doi.org/10.1167/jov.22.14.4160</unstructured_citation> | ||
</citation> | ||
<citation key="vincent.maertens2021"> | ||
<article_title>The missing linking functions in | ||
computational models of brightness perception</article_title> | ||
<author>Vincent</author> | ||
<cYear>2021</cYear> | ||
<unstructured_citation>Vincent, J., & Maertens, M. | ||
(2021). The missing linking functions in computational models of | ||
brightness perception [Talk]. OSF. osf.io/9bca7</unstructured_citation> | ||
</citation> | ||
<citation key="vincent.maertens2021a"> | ||
<article_title>A history and modular future of multiscale | ||
spatial filtering models</article_title> | ||
<author>Vincent</author> | ||
<journal_title>Journal of Vision</journal_title> | ||
<volume>21</volume> | ||
<doi>10.1167/jov.21.9.2824</doi> | ||
<cYear>2021</cYear> | ||
<unstructured_citation>Vincent, J., & Maertens, M. | ||
(2021). A history and modular future of multiscale spatial filtering | ||
models. Journal of Vision, 21, 2824. | ||
https://doi.org/10.1167/jov.21.9.2824</unstructured_citation> | ||
</citation> | ||
<citation key="wang2008"> | ||
<article_title>Maximum differentiation (MAD) competition: A | ||
methodology for comparing computational models of perceptual | ||
quantities</article_title> | ||
<author>Wang</author> | ||
<journal_title>Journal of Vision</journal_title> | ||
<issue>12</issue> | ||
<volume>8</volume> | ||
<doi>10.1167/8.12.8</doi> | ||
<cYear>2008</cYear> | ||
<unstructured_citation>Wang, Z., & Simoncelli, E. P. | ||
(2008). Maximum differentiation (MAD) competition: A methodology for | ||
comparing computational models of perceptual quantities. Journal of | ||
Vision, 8(12), 8–8. | ||
https://doi.org/10.1167/8.12.8</unstructured_citation> | ||
</citation> | ||
</citation_list> | ||
</journal_article> | ||
</journal> | ||
</body> | ||
</doi_batch> |
Oops, something went wrong.