Frontiers in Neurorobotics is devoted to leading edge research in the science and technology of embodied autonomous neural systems. 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.

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