About this Research Topic
The last decade has witnessed unprecedented advancement in the field of artificial intelligence (AI), especially towards novel methodological development pertaining to computationally intelligent techniques. At the same time, the field of neuroprosthetics and brain-computer inerfacing (BCI) also have undergone enormous expansion allowing fabrication of new devices and novel techniques to interface with the central and the peripheral nervous systems. The use of AI and computational intelligence has presented an unprecedented opportunity to advance neuroprosthetics and BCI research that would allow scientists to understand brain functionalities at multiple scales and foster rehabilitation of patients with various neurological disorders which were unthinkable even a few decades ago.
Nonetheless, it is not a trivial task to develop intelligent neuroprosthetic and brain computer interface systems aiming personalised rehabilitation. This requires multidisciplinary approaches consisting of expertise from diverse domains including computer science, electronics, neuroscience, mechatronics, robotics, arts, humanities, etc.
It invites research contributions (both original research and comprehensive survey articles) from all related areas, with a focus on, but not limited to the following topics:
• Computational intelligence approaches, i.e., methods pertaining to Fuzzy logic, Neural networks, Evolutionary computation, Learning theory, and Probabilistic methods and their applications in neuroprosthetics research;
• Processing and modelling of neuronal data for disease diagnosis, brain decoding, and neuroprosthetics applications;
• Bio-inspired methods for network analysis and pattern recognition in neural data;
• Novel machine learning techniques for neuronal data analysis;
• Application of deep and/or reinforcement learning to neuronal data analysis;
• Computationally intelligent techniques for neuroscience applications;
• Machine learning inspired Neuroinformatics (including cloud computing and real-time systems);
• Ethical and societal implications of computational intelligence in neuroprosthetics and brain-computer interface research.
Keywords: Computational Intelligence, Machine Learning, Artificial Intelligence, Deep Learning, Neuroscience, Rehabilitation
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
