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Frontiers in Neurorobotics
基本信息
期刊名称 Frontiers in Neurorobotics
FRONT NEUROROBOTICS
期刊ISSN 1662-5218
期刊官方网站 https://www.frontiersin.org/journals/neurorobotics
是否OA Yes
出版商 Frontiers Media SA
出版周期
文章处理费 登录后查看
始发年份
年文章数 190
影响因子 2.6(2023)  scijournal影响因子  greensci影响因子
中科院SCI期刊分区
大类学科 小类学科 Top 综述
工程技术3区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能3区
NEUROSCIENCES 神经科学4区
ROBOTICS 机器人学3区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 5.2 0.676 0.938
Engineering
Biomedical Engineering
126/303 58%
Computer Science
Artificial Intelligence
156/350 55%
补充信息
自引率 3.8%
H-index 23
SCI收录状况 Science Citation Index Expanded
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网友分享审稿时间 数据统计中,敬请期待。
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PubMed Central (PMC) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1662-5218%5BISSN%5D
投稿指南
期刊投稿网址 https://www.frontiersin.org/submission/submit?domainid=1&fieldid=55&specialtyid=768&entitytype=1&entityid=13
收稿范围
Frontiers in Neurorobotics is a leading multidisciplinary journal that focuses on the science and technology of embodied autonomous systems and their applications.

Led by Specialty Chief Editors Prof Alois C. Knoll (Technical University of Munich, Germany) and Florian Röhrbein (Chemnitz University of Technology, Germany), Frontiers in Neurorobotics advances understanding of neurorobotics, and publishes radically new principles, methods, tools and methods to study the design and evolution of autonomous self-learning systems capable of open-ended knowledge acquisition, potentially leading to Artificial General Intelligence. Topipcs include but are not limited to:

actual biological systems (e.g., in vivo and in vitro neural systems)
artificial spiking or non-spiking neural networks
brain-inspired algorithms (e.g., connectionist networks)
computational models of biological neural networks
embodied autonomous systems controlled by brain-inspired algorithms
large-scale simulations of neural microcircuits
micro- and macro-engineering and mechatronics of robotic devices driven by AI controllers
models complemented by experimental studies that reveal self-organising principles of embodied systems
studies on the impact of such systems on our daily lives.
The journal welcomes original research papers and reviews on the state of the art in the theory and practice of embodied autonomous systems controlled by brain-inspired algorithms (e.g., connectionist networks), computational models of biological neural networks (e.g., artificial spiking or non-spiking neural networks, large-scale simulations of neural microcircuits), and actual biological systems (e.g., in vivo and in vitro neural systems).

The embodiments of these autonomous systems may be robots of various types or any other form of physical actuation that can benefit from biologically inspired control and represent an embodiment of real-time AI, such as prosthetic devices, wearable systems, micro-machines, intelligent furniture, general household appliances, micro- and macro-infrastructure management systems, dedicated cognitive hardware devices or software functions implemented on general purpose hardware.

Models complemented by experimental studies that reveal self-organising principles of embodied systems are also welcome. Moreover, the journal publishes micro- and macro-engineering and mechatronics of robotic devices driven by AI controllers, as well as studies on the impact of such systems on our daily lives.

Manuscripts relating to classical control of robots and/or focusing on the components on which such robots and their controllers rely, e.g. computer vision modules, sensors, hardware designs, etc., are out of scope and not suitable for publication in this journal.

Through unrestricted access to articles, Frontiers in Neurorobotics is committed to advancing developments in the field of embodied autonomous systems and facilitating the communication of scientific knowledge to researchers and the public. Join us in shaping the future of neurorobotics and its applications.
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投稿指南 https://www.frontiersin.org/journals/neurorobotics/for-authors/author-guidelines
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