《神經(jīng)機器人學(xué)前沿》發(fā)表了關(guān)于體現(xiàn)自主神經(jīng)系統(tǒng)科學(xué)和技術(shù)的同行評審研究。理工大學(xué)的專業(yè)首席編輯阿洛伊斯·C·諾爾和Florian R_hrbein得到了國際專家優(yōu)秀編輯委員會的支持。這本多學(xué)科開放獲取期刊處于向研究人員、學(xué)者和全世界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)包括受大腦啟發(fā)的算法（例如，連接主義網(wǎng)絡(luò)）、生物神經(jīng)網(wǎng)絡(luò)的計算模型（例如，人工阻撓神經(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)）。期刊的重點是將這種神經(jīng)系統(tǒng)應(yīng)用于人工軟硬件設(shè)備、機器、機器人或任何其他形式的物理驅(qū)動中。這還包括假肢設(shè)備、腦機接口、可穿戴系統(tǒng)、微型機械、家具、家用電器以及管理微觀和宏觀基礎(chǔ)設(shè)施的系統(tǒng)。神經(jīng)機器人領(lǐng)域的前沿也旨在發(fā)布全新的工具和方法，研究能夠以開放式方式獲取知識的自主學(xué)習(xí)系統(tǒng)的可塑性和發(fā)展。模型與實驗研究相補充，揭示了具體神經(jīng)系統(tǒng)的自組織原理是受歡迎的。我們的期刊還發(fā)表在由神經(jīng)系統(tǒng)驅(qū)動的機器人裝置的微觀和宏觀工程和機電一體化，以及這些系統(tǒng)對我們?nèi)粘Ｉ畹挠绊懙难芯可稀?/p>

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.