Taylor & Francis

Connection Science Template

Write in a clean editor, then format for Connection Science in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Connection Science format

Connection Science is a peer-reviewed journal published by Taylor & Francis, covering Neural Networks and Applications, Neural dynamics and brain function, Language and cultural evolution.

PublisherTaylor & Francis
Reference styleAuthor–year (Chicago, T&F)
Author–year — (Smith, 2023) in the text
Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Connection Science 12 (3): 45–58.

Formats any DOI in Connection Science style. No sign-up.

Publishes research inNeural Networks and Applications Neural dynamics and brain function Language and cultural evolution Topic Modeling Evolutionary Algorithms and Applications
ISSN0954-0091
Citation impact (2-yr)4.69
h-index75
i10-index537
Total citations28,583
Article processing charge$1,270
Open accessYes
Top institutions publishing hereProvidence University
Journal websitewww.tandfonline.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Connection Science per year

37
2014
18
2015
28
2016
40
2017
18
2018
26
2019
40
2020
59
2021
108
2022
88
2023
48
2024
39
2025

Citation impact of Connection Science by publication year

596
2014
292
2015
426
2016
835
2017
306
2018
427
2019
846
2020
1.5K
2021
1.4K
2022
901
2023
360
2024
95
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Connection Science

Catastrophic Forgetting, Rehearsal and Pseudorehearsal

Anthony Robins · 1 Jun 1995

This paper reviews the problem of catastrophic forgetting (the loss or disruption of previously learned information when new information is learned) in neural networks, and explores rehearsal mechanisms (the retraining of some of the previously learned information as the new information is added) as a potential solution. We replicate some of the experiments described by…

Developmental robotics: a survey

Max Lungarella, Giorgio Metta, Rolf Pfeifer et al. · 1 Dec 2003

Abstract. Developmental robotics is an emerging field located at the intersection of robotics, cognitive science and developmental sciences. This paper elucidates the main reasons and key motivations behind the convergence of fields with seemingly disparate interests, and shows why developmental robotics might prove to be beneficial for all fields involved. The methodology advocated is synthetic…

Error Correlation and Error Reduction in Ensemble Classifiers

Kagan Tumer, Joydeep Ghosh · 1 Dec 1996

Using an ensemble of classifiers, instead of a single classifier, can lead to improved generalization. The gains obtained by combining however, are often affected more by the selection of what is presented to the combiner, than by the actual combining method that is chosen. In this paper we focus on data selection and classifier training…

On Combining Artificial Neural Nets

Amanda Sharkey · 1 Dec 1996

This paper reviews research on combining artificial neural nets, and provides an overview of, and an introduction to, the papers contained in this special issue, and its companion (Connection Science, 9, 1). Two main approaches, ensemble-based, and modular, are identified and considered. An ensemble, or committee, is made up of a set of nets, each…

Connection Science template — frequently asked questions

How do I write a paper in the Connection Science format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Connection Science template. When you export, DocuGuru compiles the paper into the official Taylor & Francis format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Connection Science use?
Connection Science uses Author–year (Chicago, T&F) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Connection Science 12 (3): 45–58.
Do I need to know LaTeX to submit to Connection Science?
No. DocuGuru generates the interact LaTeX class and compiles the PDF for you in the background, so you get a Taylor & Francis-ready Connection Science document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Connection Science template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Connection Science format with correct headings, figures, tables, and author–year citations.
Who publishes Connection Science?
Connection Science is a multidisciplinary journal published by Taylor & Francis. DocuGuru's Connection Science template matches Taylor & Francis's official submission format.
Can I export a submission-ready Connection Science PDF?
Yes — DocuGuru produces a PDF built with the official Connection Science template (the interact class) that is ready to submit to Taylor & Francis, together with the matching LaTeX source files.
How much does the Connection Science template cost?
You can start writing in the Connection Science template for free. Exporting the final submission-ready Connection Science PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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