Frontiers In Neurorobotics

Journal Title：Frontiers In Neurorobotics

Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian Röhrbein at the Technische Universität München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide.

Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural nets, large-scale simulations of neural microcircuits) and actual biological systems (e.g. in vivo and in vitro neural nets). The focus of the journal is the embodiment of such neural systems in artificial software and hardware devices, machines, robots or any other form of physical actuation. This also includes prosthetic devices, brain machine interfaces, wearable systems, micro-machines, furniture, home appliances, as well as systems for managing micro and macro infrastructures. Frontiers in Neurorobotics also aims to publish radically new tools and methods to study plasticity and development of autonomous self-learning systems that are capable of acquiring knowledge in an open-ended manner. Models complemented with experimental studies revealing self-organizing principles of embodied neural systems are welcome. Our journal also publishes on the micro and macro engineering and mechatronics of robotic devices driven by neural systems, as well as studies on the impact that such systems will have on our daily life.

Frontiers in Neurorobotics 出版了经过严格同行评审的具身自主神经系统科学和技术研究。慕尼黑工业大学的专业主编 Alois C. Knoll 和 Florian Röhrbein 得到了由国际专家组成的杰出编辑委员会的支持。这本多学科开放获取期刊处于向全球研究人员、学者和公众传播和交流科学知识和有影响力的发现的前沿。

神经系统包括大脑启发算法（例如联结网络）、生物神经网络的计算模型（例如人工脉冲神经网络、神经微电路的大规模模拟）和实际生物系统（例如体内和体外神经网络）。该期刊的重点是将此类神经系统体现在人工软件和硬件设备、机器、机器人或任何其他形式的物理驱动中。这还包括假肢、脑机接口、可穿戴系统、微型机器、家具、家用电器以及用于管理微观和宏观基础设施的系统。《神经机器人前沿》还旨在发布全新的工具和方法来研究可塑性和自主自学系统的开发，这些系统能够以开放式的方式获取知识。欢迎提供模型和实验研究，以揭示具身神经系统的自组织原理。我们的期刊还发表关于神经系统驱动的机器人设备的微观和宏观工程和机电一体化的文章，以及关于此类系统对我们日常生活的影响的研究。

Frontiers In Neurorobotics创刊于2007年，由Frontiers Media S.A.出版商出版，收稿方向涵盖COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER - ROBOTICS全领域，此期刊水平偏中等偏靠后，在所属细分领域中专业影响力一般，过审相对较易，如果您文章质量佳，选择此期刊，发表机率较高。平均审稿速度 14 Weeks ，影响因子指数2.6，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。