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 R?hrbein at the Technische Universit?t 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 出版了經(jīng)過嚴格同行評審的具身自主神經(jīng)系統(tǒng)科學(xué)和技術(shù)研究。慕尼黑工業(yè)大學(xué)的專業(yè)主編 Alois C. Knoll 和 Florian R?hrbein 得到了由國際專家組成的杰出編輯委員會的支持。這本多學(xué)科開放獲取期刊處于向全球研究人員、學(xué)者和公眾傳播和交流科學(xué)知識和有影響力的發(fā)現(xiàn)的前沿。

神經(jīng)系統(tǒng)包括大腦啟發(fā)算法（例如聯(lián)結(jié)網(wǎng)絡(luò)）、生物神經(jīng)網(wǎng)絡(luò)的計算模型（例如人工脈沖神經(jīng)網(wǎng)絡(luò)、神經(jīng)微電路的大規(guī)模模擬）和實際生物系統(tǒng)（例如體內(nèi)和體外神經(jīng)網(wǎng)絡(luò)）。該期刊的重點是將此類神經(jīng)系統(tǒng)體現(xiàn)在人工軟件和硬件設(shè)備、機器、機器人或任何其他形式的物理驅(qū)動中。這還包括假肢、腦機接口、可穿戴系統(tǒng)、微型機器、家具、家用電器以及用于管理微觀和宏觀基礎(chǔ)設(shè)施的系統(tǒng)。《神經(jīng)機器人前沿》還旨在發(fā)布全新的工具和方法來研究可塑性和自主自學(xué)系統(tǒng)的開發(fā)，這些系統(tǒng)能夠以開放式的方式獲取知識。歡迎提供模型和實驗研究，以揭示具身神經(jīng)系統(tǒng)的自組織原理。我們的期刊還發(fā)表關(guān)于神經(jīng)系統(tǒng)驅(qū)動的機器人設(shè)備的微觀和宏觀工程和機電一體化的文章，以及關(guān)于此類系統(tǒng)對我們?nèi)粘Ｉ畹挠绊懙难芯俊?/p>

Frontiers In Neurorobotics創(chuàng)刊于2007年，由Frontiers Media S.A.出版商出版，收稿方向涵蓋COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER - ROBOTICS全領(lǐng)域，此期刊水平偏中等偏靠后，在所屬細分領(lǐng)域中專業(yè)影響力一般，過審相對較易，如果您文章質(zhì)量佳，選擇此期刊，發(fā)表機率較高。平均審稿速度 14 Weeks ，影響因子指數(shù)2.6，該期刊近期沒有被列入國際期刊預(yù)警名單，廣大學(xué)者值得一試。