Neurointelligence techniques play a key role in building general artificial intelligence systems. Some researchers and engineers have tried to design novel bio-inspired algorithms and hardware by mimicking the working principles of biological nervous systems. Benefiting from the progress in representational learning, neuroscience, and computational hardware, bio-inspired research has greatly contributed to the development of neurointelligence. Currently, advanced bio-inspired methods have been widely applied in robotics, visual scene understanding, medical image analysis, human-machine interaction and so on. Moreover, neurointelligence covers interdisciplinary topics with neuroscience, robotics, artificial intelligence, cognitive science, machine learning, and pattern recognition. This research topic is intended to provide a better understanding of the opportunities, challenges, and promising future directions for neurointelligence.
The goal of this research project is to collect novel and high-quality research articles that investigate methods and applications in neural intelligence systems. Specifically, we are open to original contributions related to neuro-robotics, surgical robots, medical image analysis, human-machine interaction, and neuromorphic engineering (algorithms and hardware).
Topics of interest are, but not limited to,
? advanced methods and applications for neurorobotics;
? advanced methods and applications for surgical robots;
? advanced methods and applications for human-machine interaction;
? bio-inspired neural networks and learning systems;
? bio-inspired Intelligence for medical imaging;
? event-driven neuromorphic sensing (algorithms and hardware)
Neurointelligence techniques play a key role in building general artificial intelligence systems. Some researchers and engineers have tried to design novel bio-inspired algorithms and hardware by mimicking the working principles of biological nervous systems. Benefiting from the progress in representational learning, neuroscience, and computational hardware, bio-inspired research has greatly contributed to the development of neurointelligence. Currently, advanced bio-inspired methods have been widely applied in robotics, visual scene understanding, medical image analysis, human-machine interaction and so on. Moreover, neurointelligence covers interdisciplinary topics with neuroscience, robotics, artificial intelligence, cognitive science, machine learning, and pattern recognition. This research topic is intended to provide a better understanding of the opportunities, challenges, and promising future directions for neurointelligence.
The goal of this research project is to collect novel and high-quality research articles that investigate methods and applications in neural intelligence systems. Specifically, we are open to original contributions related to neuro-robotics, surgical robots, medical image analysis, human-machine interaction, and neuromorphic engineering (algorithms and hardware).
Topics of interest are, but not limited to,
? advanced methods and applications for neurorobotics;
? advanced methods and applications for surgical robots;
? advanced methods and applications for human-machine interaction;
? bio-inspired neural networks and learning systems;
? bio-inspired Intelligence for medical imaging;
? event-driven neuromorphic sensing (algorithms and hardware)