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Neural Networks

Neural Networks publishes research on all aspects of neural networks, including deep learning and related artificial intelligence and machine learning approaches. It welcomes work spanning cognitive modeling, computational neuroscience, deep learning algorithms, mathematical analysis, and engineering applications, and publishes articles, letters, reviews/tutorials, letters to the editor, editorials, and current events across five sections: learning systems, cognitive science, neuroscience, mathematical and computational analysis, and engineering and applications.

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Subject Neurosciences
Impact Factor 6.3
Quartile Q1
Open Access Type Hybrid
ISSN 0893-6080
eISSN 1879-2782
Invitation Only No
Cost Range USD 2950 APC for all open access articles, excluding taxes; no open access publication fee for subscription articles.

Submission Instructions

Neural Networks accepts the following article types. Click on an article type to view submission instructions.

Articles

Cover Letter Cover Letter requirements are not specified.
Abstract An abstract is required. Abstract must not exceed 250 words. Abstract must be concise, factual, and unstructured.
Manuscript Manuscript must be an original full-length article divided into clearly defined and numbered sections, and authors must specify one of the five sections: Cognitive Science, Neuroscience, Learning Systems, Mathematical and Computational Analysis, or Engineering and Applications. Manuscript must include 1 to 6 English keywords and a generative AI declaration section before the references if AI was used in manuscript preparation.
References Citations and references must follow American Psychological Association style. Reference list must be arranged alphabetically and then chronologically, with same-author same-year entries distinguished by letters after the year.
Figures & Tables Figures must be supplied as separate files, while tables are submitted with the manuscript as editable text. Tables must be editable text with consecutive numbering and captions, and all figures and tables must be cited in the text.
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Reviews

Cover Letter Cover Letter requirements are not specified.
Abstract An abstract is required. Abstract must not exceed 250 words.
Manuscript Manuscript must be divided into clearly defined and numbered sections. Manuscript must include 1 to 6 English keywords and a generative AI declaration section placed before the references if AI was used in manuscript preparation.
References Citations and references must follow American Psychological Association style. Reference list must be arranged alphabetically and then chronologically, with same-author same-year items distinguished by letters after the year.
Figures & Tables Figures must be supplied as separate files along with the manuscript, while tables are submitted within the manuscript as editable text. Tables must be editable text with captions and consecutive numbering, and all figures and tables must be cited in the text.
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Letters To The Editor

Cover Letter Cover Letter requirements are not specified.
Abstract Abstract must not exceed 250 words.
Manuscript Manuscript must not exceed 2 formatted pages. Article must be divided into clearly defined and numbered sections. Manuscript must include 1 to 6 English keywords and a generative AI declaration in a new section before the references if AI was used in manuscript preparation.
References Citations in the text must follow American Psychological Association style. Reference list must be arranged alphabetically and then chronologically, with same-author same-year entries distinguished by letters.
Figures & Tables Figures must be supplied as separate files, and tables must be submitted as editable text rather than images. All figures and tables must be cited in the text, numbered consecutively, and include captions.
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Tutorials

Cover Letter Cover Letter requirements are not specified.
Abstract Abstract must not exceed 250 words.
Manuscript Article must be divided into clearly defined and numbered sections, with the abstract excluded from section numbering. Manuscript must include 1 to 6 English keywords and a generative AI declaration section placed before the references if AI was used in manuscript preparation.
References Citations in the text must follow American Psychological Association referencing style. Reference list must be arranged alphabetically and then chronologically, with same-author same-year entries distinguished by letters after the year.
Figures & Tables Figures must be supplied as separate files, and tables must be submitted as editable text. All figures and tables must be cited in the text, numbered in order of appearance, and include captions.
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Recent Publications

Topology-aware dynamic co-evolution for robust graph learning

Tingting Zhang, Shuxia Lu, Mengru Wang, Bin Liu

10.1016/j.neunet.2026.109736
View Publication

Adjusting modal contributions via differential-driven SoftMax fusion for RGB-IR object detection

Hang Yu, Jun Zhang, Rui Ding, Boya Wei, Wanli Dang, Jing Nie, Lihui Chen, Xichuan Zhou, Haijun Liu

10.1016/j.neunet.2026.109707
View Publication

A dual-time-scale cooperative memory mechanism for spiking neural networks

Junxiu Liu, Zhaoxin Zhang, Qiang Fu, Yuling Luo, Sheng Qin, Xue Ouyang

10.1016/j.neunet.2026.109700
View Publication

Corrigendum to “DAQSyn: A decentralized adaptive quantization-aware synchronous framework in heterogeneous on-device AI networks” [Neural Networks 205 (2027) 109474]

Misbah Bibi, Qazi Waqas Khan, Syed Ali Yazdan, Rashid Ahmad, Do-Hyeun Kim

10.1016/j.neunet.2026.109669
View Publication

Editorial Board

-

10.1016/s0893-6080(26)01167-6
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Frequently asked questions

How long does it take to publish?

9 days submission to first decision; 78 days submission to decision after review; 208 days submission to acceptance; 8 days acceptance to online publication.

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What are the publication costs?

USD 2950 APC for all open access articles, excluding taxes; no open access publication fee for subscription articles.

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Research Topics

Neural Networks and Applications Neural dynamics and brain function Advanced Memory and Neural Computing Neural Networks Stability and Synchronization Domain Adaptation and Few-Shot Learning Face and Expression Recognition Machine Learning and ELM Advanced Neural Network Applications Advanced Graph Neural Networks stochastic dynamics and bifurcation Diverse Scientific and Economic Studies EEG and Brain-Computer Interfaces Neural Networks and Reservoir Computing Blind Source Separation Techniques Human auditory perception and evaluation Topic Modeling Model Reduction and Neural Networks Visual perception and processing mechanisms Anomaly Detection Techniques and Applications Educational Robotics and Engineering Reinforcement Learning in Robotics Multimodal Machine Learning Applications Advanced Image and Video Retrieval Techniques Adversarial Robustness in Machine Learning Nonlinear Dynamics and Pattern Formation

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