This Research Topic is part of the Methods and Applications in Neurorobotics series.
This series aims to highlight the latest experimental techniques and methods used to investigate fundamental questions in neurorobotics research. Review articles or opinions on methodologies or applications including the advantages and limitations of each are welcome. This Topic includes technologies and up-to-date methods which help advance science.
Methods and Applications in Neurorobotics welcomes contributions on new or established methods and protocols that can help to advance our understanding of embodied autonomous systems and their applications. This Research Topic aims to collect new evidence and perspectives on computational models of biological neural networks, brain-inspired algorithms, and both in vivo and in vitro neural systems. This collection will act as a platform for the latest methods in neurorobotics in order to improve practical applications of biology-inspired control and further the development of autonomous self-learning systems.
The contributions to this collection will undergo peer-review. Novelty may vary, but the utility of a method or protocol must be evident. We welcome contributions covering all aspects of Neurorobotics. Submissions will be handled by the team of Topic Editors in the respective sections.
This Research Topic welcomes:
- Methods: Describing either new or existing methods that are significantly improved or adapted for specific purposes. These manuscripts may include primary (original) data.
- Protocols: Detailed descriptions, including pitfalls and troubleshooting, to benefit those who may evaluate or employ the techniques. The protocols must be proven to work.
- Perspective or General Commentaries on methods and protocols.
- Reviews and mini-reviews of topical methods and protocols highlighting the important future directions of the field.
Frontiers in Neurorobotics supports the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management and stewardship (Wilkinson et al., Sci. Data 3:160018, 2016).
For more information on the description and formats of the different article types please see
here