Submitting Manuscripts for Peer Review
The Peer Review Process
Submitted manuscripts are uploaded electronically where they will be viewed initially by journal staff and processed through iThenticate, a plagiarism detection software. If any components are found to be missing, the manuscript will be returned electronically to the corresponding author with instructions on how to correct the problem.
Submit new manuscripts to http://jov.msubmit.net, our manuscript tracking and peer review system.
When submitting your manuscript, please select an Associate Editor who you would like to oversee the peer review process for your manuscript. Manuscripts will then be sent to the Associate Editor of your preference, who will assign an Editorial Board Member to act on the manuscript or they may act as the Editorial Board Member themselves. The Editorial Board Member will determine the suitability of the paper for the journal.
JoV receives many more submissions that can be published and will return without review manuscripts that do not have a strong chance of acceptance, either because the topics are outside the bounds of the journal, or because of questions about the scientific significance. The Editor-in-Chief is authorized to render an immediate "reject" decision on manuscripts without review should they deem them unsuitable or inappropriate.
Editors-in-Chief are authorized to render an immediate "reject" decision on manuscripts without review should they deem them unsuitable or inappropriate.
If the submission is approved and an Associate Editor (or the Editor-in-Chief) and an Editorial Board Member is assigned, then generally a manuscript is sent to two reviewers to assess its strengths and weaknesses. Reviewers make recommendations on the suitability of the manuscript for the journal based on several criteria, e.g., appropriateness for the journal and its readership.
Reviewers do not render final decisions; only the editors can make such decisions.
Authors can check the status of their papers in review by logging on to the online submission system. After the editor has read the reviews, a decision is issued to the author by email. The email will contain the comments from the reviewers as well as the editors. In some cases a reviewer may upload a review in a pdf format to more clearly present special characters, figures, etc. The pdf file will be attached to the email, but will not be viewable in the Author Center.
Manuscript Submission Site
Manuscript submission site: https://jov.msubmit.net
Authors may submit a single pdf file containing all text and figures. If original files are uploaded, the submission system will convert them to a single pdf for review.
In general, JOV follows the Publication Manual of the American Psychological Association Sixth Edition with regard to usage and style for statistical symbols. All symbols should be type-set in italics. Some of the more common symbols are: df, F, MSE, N, p, SD, SE, and SEM.
Title Page and Abstract
The title page should contain the Title, Author(s), Department, Institution, City, State (optional), Country, URL (optional), and email (optional) and should be included with the main manuscript file. It should also include funding information and commercial relationships disclosures.
Abstracts should be approximately 200 words in length.
Authors should organize their paper using the following structure:
- Author, Department, Institution, City, State (optional), Country, URL (optional), and email (optional)
- Abstract (approximately 200 words in length)
- Appendix (optional)
- Footnotes (discouraged)
The manuscript text should be 1.5 spaced, and the lines and pages should be numbered (page and line numbers help reviewers to make specific comments.)
Journal of Vision accommodates math of two sorts: display equations, which are set off on a separate line and are usually numbered, and inline math, consisting of mathematical expressions within a line of text. Both types of material can be handled in either of two ways: using MathType (or equivalently, Equation Editor), or using text and the Symbol font. Each approach has its pros and cons, but for all but the simplest display equations, we recommend the MathType solution. Among other advantages, the default fonts and styles used by MathType conform to the conventions followed by Journal of Vision for mathematical material. For inline math, text is preferred.
JOV follows standard scholarly publishing conventions for mathematical fonts and styles.
Our standards include the following:
Scalar variables: Times italic, lowercase a
Numbers: Times normal 3
Function names: Times normal sin
Vectors: Times bold, lowercase b
Matrices: Times bold, uppercase K
- Use 11 point type for all math if using text.
- Avoid multi-letter text names for new function names, variables, or subscripts; instead use single characters and define in the text.
- Avoid the use of "*" for multiplication.
- Every significant equation should be numbered.
- Display equations are considered part of the text, and as such should include appropriate punctuation. If they conclude a sentence, they should be followed with a period.
Tables and Figures
Tables should be inserted into the text near to where it is first mentioned. Do not include a box around the table, and do not separate each row and column with a line. Use lines only to separate header rows or columns, or significant groupings of data. A caption should follow the table.
Figures should be placed in the manuscript after the paragraph in which it is first mentioned. Figures should be numbered sequentially in order of appearance. Do not place the figure within a text box or frame, and do not insert as a floating object. A caption should follow the figure.
Preparing your graphics properly is an important step to completing your submission successfully. Read more on how to create graphics properly and in the correct format.
When choosing an application to use in plotting data, make sure that it can produce vector art files (PICT, EPS, PDF). Examples are MATLAB, Mathematica, Excel, Adobe Illustrator, as well as many plotting programs.
Our general philosophy is that graphs are pictures of data, and that extraneous elements should be eliminated.
The following are some general rules for graphs:
- Use the Helvetica font.
- Use approximately 10-point type for axis numbers, and 12-point type for axis labels.
- The type should be about the size of type in the body text, when the figure is created at the desired size.
- Do not use boldface.
- Do not use too wide a range of font sizes (less than a range of 8 points).
- Do not use 3D shapes for 2D data.
- Do not use bar charts when line graphs will do.
- Do not place a title at the top of the figure; this should go in the figure caption.
- Do not draw lines or shadows around the outside of the figure.
- Use color to distinguish data series, or for other useful didactic purposes, but not for decoration.
- Capitalize the first letter of the first word in the axis labels.
- If the axis labels include units, place them in parentheses.
- Avoid repeating axis labels in multi-panel figures.
Movies are particularly well suited to depicting stimuli used in vision science experiments. They may also be used to illustrate an apparatus, procedure, or even experimental results, such as eye-movement traces. Authors are encouraged to consider whether a movie would enhance the communication of their ideas. Movies should be submitted in a common format that most readers will be able view.
Acknowledgements and References
Acknowledgements should be written in the third person and should be limited to colleagues and research assistants. Acknowledgements are not meant to recognize appreciation for personal or manuscript production support. Including dedications to individuals or groups is not permitted by ARVO journal policy. It may also be used to acknowledge support from granting agencies.
The complete references for all cited materials should appear in a separate section at the end of the article and should be listed alphabetically by authors and date. References should be formatted according to the APA style. Consult any paper in the journal for examples of APA style. Authors are responsible for the accuracy of references.
Articles from JOV should be cited using the format that appears on the abstract page of the article, under the heading "Citation." This format includes the URL and the DOI of the article. To resolve any DOI, use https://doi.org/.
Appendix is optional, and footnotes are discouraged.
Use of Copyrighted Material/Images of Faces
If you plan to include figures, photographs, or tables from other publications, obtain written permission from the copyright holder to reprint such items, and submit this permission to the Editorial Office. This includes any images gathered from the internet that you used as stimuli and now plan to include in your article. If you used movies or TV shows as stimuli, you may not include clips or stills in your manuscript unless you have obtained permission from the copyright holder as well as from any actors whose faces appear in the images. You may scan the permission agreement and upload it as part of your manuscript. If you are including images of unobscured faces, you must contact the persons whose faces are shown and obtain written permission from them (or their guardians) to publish their images in your article. A form may be downloaded here.
Articles present new data in one or more areas of vision research and are written concisely for a broad rather than a highly specialized audience. To be considered for publication, papers that are merely descriptions of new methods must be exceptional contributions, with implications extending beyond the particular applied area. Summaries of meetings/symposia, case reports, obituaries, and general review articles are not considered.
The journal welcomes submission of Letters to the Editor to be considered for publication. Letters may concern material published in the journal or issues of general interest to vision scientists. Letters about material published in the journal may correct errors or offer different points of view, clarification, or additional information or analyses in a civil manner. Letters will be evaluated for their scientific merit, technical quality, and significance. Letters whose arguments or conclusions require support from experimental evidence or theoretical analyses are more appropriate as regular submissions and may be declined without review. Authors whose article is discussed in a Letter will be given an opportunity to reply.
Methods are articles describing substantial advances rather than incremental improvements in existing methods. The methods described should serve a broad or important purpose within vision science. We encourage submission of supplementary materials, such as computer code or online demonstrations that implement or demonstrate the methods. Articles that primarily report new data or theory should not be submitted to the Methods section. Any commercial interest by an author in the methods described should be clearly stated in the cover letter and in the acknowledgments. Commercial interests are not a bar but they may be considered during review for publication.
Point/CounterPoint are 2 invited articles with opposing views on a specific current topic. The articles will be peer-reviewed. Each article should be 2-3 pages (final PDF pages).
Perspectives are personal viewpoints on topics with broad interest (mini-editorial). Articles will be peer-reviewed. They may be up to 4 pages (final PDF pages), including art and tables.
Emerging Trends in Vision Science is a focused review of a key development in visual science.
Authors who wish to write an Emerging Trends review should submit a proposal to the Editor-in-Chief which addresses the following:
- What is the emergent trend?
- Why is it an emergent trend?
- Why are you qualiﬁed to write it?
- General interest to the readership of JOV
Guidelines for the Emerging Trends are the same as for a Review, with these minor variations:
- Provide a list of recent references (at least 10).
- Keep it brief, normally within 6 printed pages.
- Authors are encouraged to use graphical devices, (movies, ﬁgures, text boxes, etc.) within the 6 page guidelines.
- When appropriate, authors may speculate on future developments.
Reviews are meant to sum up the current state of the research on an important topic and are regarded as being the first place to get authoritative information about that topic. They should contain new insights on the topic or provide a new synthesis of data.
Review articles should inform the reader about:
- the main contributors to the field
- recent major advances and discoveries
- significant gaps in knowledge
- current debates in the area
- ideas of where research might go next
Authors who wish to write a Review should submit a proposal to the Editor-in-Chief which addresses the following:
- justification for a Review at this time on the topic selected
- a rough outline
- a firm date for submission of the completed work, should the Senior Editor accept the proposal
Please consider the following issues when writing the manuscript:
- Make sure the review is up to date.
- Consideration of the topic should be comprehensible.
- The review should contain new insights or provide a new synthesis of data.
- The discussion should be fair and balanced in both the work cited and the presentation of conclusions, and any competing commercial interests should be declared.
- Recommendations for future research should be realistic and innovative.
- Preferably, the title should catch the reader’s attention and be clearly focused on the subject of the review.
- The figures should be clear and aid the reader in understanding the topic.
- The review must highlight and critically analyze the appropriate references, especially those of other laboratories.
- Overall, the review should significantly advance understanding by providing new insights and perspectives, not just be a summary of the literature.
Call for Papers: Deep Neural Networks and Biological Vision
Deep learning is very important today as a tool to study neural circuits and as a model for visual perception. As a powerful new machine learning tool, it can be used to make sense of complex neural data of various kinds. Deep networks can also serve as abstractions of the visual processing hierarchy, which after training can be analyzed in very much the same way a biological circuit or intact observer would be. The successes and failures of this process teach us potentially important lessons about how natural visual input statistics interact with architectural and task constraints to yield neural representations, and ultimately behavior. The complexities entailed in trying to understand emerging representations in such large yet fully observed systems, can also illustrate the limitations of our traditional approaches, arguing for the need of new tools and conceptual frameworks for thinking about brain computations.
For this special issue we invite not only research papers but also opinion pieces and papers summarizing and arguing for or against the relevance of deep learning for vision science. We welcome explanations of how these tools can help. Authors may use any of the available article types, including regular, Review, Comment, Emerging Trends in Vision Science, and Perspective.
- Nikolaus Kriegeskorte, Columbia University
- Denis Pelli, New York University
- Cristina Savin, New York University
- Felix Wichmann, University of Tübingen
Submissions to the special issue will be open through December 31, 2020. Accepted papers will be published as ready in the current monthly issue as well as presented as a special issue together as a collection on the JOV website.
Call for Papers: Crowding: Recent Advances and Perspectives
The context of a target stimulus can dramatically change how it is perceived. In crowding, identification of a target that is easily identified in isolation deteriorates when presented among contextual elements. Crowding is ubiquitous when viewing complex, cluttered scenes and has been described as one of the fundamental limits of visual perception, constraining tasks such as reading, visual search, and object recognition. A plethora of recent research significantly advanced our understanding of crowding. However, several--often mutually exclusive--accounts have been proposed to explain crowding, and its underlying mechanisms are still largely unknown. For this special issue, we invite submissions of articles from all areas of crowding research, ranging from basic empirical work to translational findings and targeted reviews. The goal of the special issue is to provide a broad and profound overview of the current state of our understanding of crowding.
- Susana T.L. Chung, University of California, Berkeley
- Michael H. Herzog, École Polytechnique Fédérale de Lausanne (EPFL)
- Denis Pelli, New York University
- Ruth Rosenholtz, Massachusetts Institute of Technology (MIT)
- Bilge Sayim, University of Lille, CNRS, University of Bern
- David Whitney, University of California, Berkeley
Submissions to the special issue will be open through September 1, 2020. Accepted papers will be published as ready in the current monthly issue as well as presented as a special issue together as a collection on the JOV website.
Call for Papers: From Peripheral to Transsaccadic and Foveal Perception
Our visual system varies quite dramatically across the retina, and still we perceive the world as
uniform across the field of view. We rapidly move our eyes about three times a second, and still
we perceive the visual world as stable in time.
The visual impression that we gather from the world surrounding us is the result of a dynamic
process that accommodates the information we gather from the peripheral visual field before
saccades and from foveal vision after saccades.
A variety of phenomena such as transsaccadic attention, learning, integration and memory allow
us to have a stable representation of the environment across saccades, as well as across the
This special issue will bring together research into various aspects of peripheral, transsaccadic
and foveal vision, with the aim of promoting an integrated understanding of these seemingly
Submissions to the special issue will be open through May 1, 2020. Accepted papers will be published as ready in the current monthly issue as well as presented as a special issue together as a collection on the JOV website.
- Therese Collins, Université Paris Descartes
- Aarlenne Khan, Université de Montréal
- Concetta Morrone, University of Pisa
- Martin Rolfs, Humboldt-Universität zu Berlin
- Alexander Schütz, Philipps-Universität Marburg
- Matteo Valsecchi, Justus-Liebig University Giessen
Call for Papers: Vision and Information Visualization
As data continue to drive decision-making, communication, and discovery, information visualizations that enable people to make sense of these data are becoming ubiquitous. When done well, visualizations leverage visual intelligence, enabling the viewer to use vision to think. To understand how to create effective visualizations, researchers have built an empirical framework for evaluating techniques and design guidelines. Much of this work has been inspired by findings in vision science, which provides a basic understanding of how we perceive and interpret visualizations, as well as a set of experimental techniques that help evaluate effectiveness. But just as importantly, both the successes and unsolved problems of visualization also provide a new source of basic research questions for vision scientists. Visualizations require a viewer to find data of interest (visual search), estimate data means or variance (ensemble coding), understand trends (pattern vision), and compare data values or patterns (visual memory & comparison); data must be displayed clearly (crowding, salience, discriminability), understandably (semantics), and in a pleasing way (aesthetics). Such issues connect with broad areas across vision, including color, shape, size, depth, and motion perception.
This special issue seeks to illustrate how interdisciplinary work between vision science and visualization can simultaneously improve techniques in visualization while also advancing our basic understanding of human vision.
Submissions to the special issue will be open through December 31, 2019. Accepted papers will be published as ready in the current monthly issue as well as presented as a special issue together as a collection on the JOV website.
- Steven L. Franconeri, Northwestern University
- Ronald A. Rensink, University of British Columbia
- Ruth Rosenholtz, Massachusetts Institute of Technology
- Karen B. Schloss, University of Wisconsin
- Danielle A. Szafir, University of Colorado Boulder
Call for Papers: Advances in Perceptual Learning
Studies of perceptual learning have generated substantial interest in understanding the mechanisms of plasticity within perceptual systems and in the translational potential to identify and enhance interventions that improve human function. This field has also generated controversies regarding the neural substrates of perceptual learning and the factors that determine when and how the gains of perceptual learning transfer beyond the training context. In this special issue, we seek articles spanning the broad field of perceptual learning, ranging from basic experimental findings, computational models, and translational applications of perceptual learning, to review papers that present recent advances in the field and discuss the future of perceptual learning research. We are interested in submissions that address aspects of perceptual learning in all sensory modalities, research methods, and model systems.
Deadline extended: Submissions to the special issue will be open through December 31, 2019. Accepted papers will be published as ready in the current monthly issue as well as presented as a special issue together as a collection on the JOV website.
- Barbara Dosher, University of California, Irvine
- Zhong-Lin Lu, Ohio State University
- Elizabeth M. Quinlan, University of Maryland
- Dov Sagi, Weizmann Institute of Science
- Aaron Seitz, University of California, Riverside
- Michael Silver, University of California, Berkeley
- Preeti Verghese, Smith Kettlewell
- Takeo Watanabe, Brown University
- Cong Yu, Peking University
Resources and Tools
The following are a number of applications that may be useful in the preparation of a JOV article.
Adobe Acrobat http://www.adobe.com/products/acrobat/ This program reads and writes PDF files. A free Acrobat Reader can only read files, while a plug-in PDF Viewer allows reading of PDF files from within a browser.
Adobe Illustrator http://www.adobe.com/products/illustrator/ This program can create and edit vector art and can read and write EPS files.
Adobe LiveMotion http://www.adobe.com/products/livemotion/ This program is useful for creating animated GIF icons. It enables the preparation of a movie through assembly of various graphic elements, which can then be saved as an animated GIF.
Adobe Photoshop http://www.adobe.com/products/photoshop/ This program creates and edits raster images.
APA Publication Manual This is an excellent guide to the conventions followed by Journals of the American Psychological Association (APA). JOV follows these conventions in most respects. The book may be purchased online.
AppleWorks http://www.apple.com/appleworks/ AppleWorks is an office application suite from Apple Computer.
EndNote http://endnote.com/ This program formats bibliographic references in designated styles. It can also maintain a personal bibliographic database, and can fetch references from online databases such as PubMed.
Equation Editor Equation Editor is a built-in equation editor in Microsoft Word.
GraphicConverter http://www.lemkesoft.com/ This inexpensive program is very useful for editing raster graphic images, for converting between image formats, and for creating animated GIF icons.
Mathematica http://www.wolfram.com/ A high level mathematical programming environment with excellent graphics capabilities. It can be used to create graphs, images, and movies.
MathType http://mathtype.com/ MathType is an equation editor that works with Microsoft Word as well as other word-processing applications.
MATLAB http://www.mathworks.com/ A mathematical programming environment that is specialized for discrete math and matrix manipulation. It has excellent graphics capabilities and can be used to create graphs, images, and movies.
Microsoft Word http://www.microsoft.com/office/ A word-processing application. We accept manuscripts formatted as an Microsoft Word file, which usually has the extension .doc.
QuickTime Pro http://www.apple.com/quicktime/download/ QuickTime Player is a QuickTime media player from Apple Computer. A “pro” version is available at a modest charge which allows further editing of QuickTime files.