The brain, as the center of the processes of human thinking, is one of the most important organs in our body.
Over the ages, various features of the brain and its influence on our organism were discovered and examined. In the recent years, the development in computer science has made it possible to deepen all these discoveries in order to study the structure, functions, and behavior of the brain and their relations with our senses.
Modern technological advances in portable technologies have made it possible to study the brain in its entirety, to promote convalescence after an accident and to help in the treatment of various brain diseases and disorders, to develop a greater perception of the world around us, etc.
All of this is possible because the results of modern technologies allow us to better understand how the brain works. Readings and images from different sensors can be processed as digital values, dedicated image forms or even sophisticated waves using advanced methodologies.
This Research Topic aims to find answers to the following questions using Modern science:
Is it possible to use brain powers for control of devices?
How the processes of control and interaction through modern technology reflect thinking and functions of the brain?
Do we see any clues for potential disorder from readings of brain sensors?
Do we have yet good methods to analyze brain signals and use them for prediction?
Is modern science able to simulate brain and its functions?
This Research Topic is an open cross-field junction between technology, methodology, science and didactics to enable professional discussion and presentation of innovative and efficient ideas to maximize any possible benefits of the research to the society, at a technological and methodological level.
The authors are invited to submit articles covering latest advances on, but not limited to, the following topics:
• Internet of brain things;
• Deep learning for neuroimage and neurosignal processing;
• Virtual and Augmented Reality for neuroscience;
• Multimodal data fusion;
• Real world applications and simulation.
The brain, as the center of the processes of human thinking, is one of the most important organs in our body.
Over the ages, various features of the brain and its influence on our organism were discovered and examined. In the recent years, the development in computer science has made it possible to deepen all these discoveries in order to study the structure, functions, and behavior of the brain and their relations with our senses.
Modern technological advances in portable technologies have made it possible to study the brain in its entirety, to promote convalescence after an accident and to help in the treatment of various brain diseases and disorders, to develop a greater perception of the world around us, etc.
All of this is possible because the results of modern technologies allow us to better understand how the brain works. Readings and images from different sensors can be processed as digital values, dedicated image forms or even sophisticated waves using advanced methodologies.
This Research Topic aims to find answers to the following questions using Modern science:
Is it possible to use brain powers for control of devices?
How the processes of control and interaction through modern technology reflect thinking and functions of the brain?
Do we see any clues for potential disorder from readings of brain sensors?
Do we have yet good methods to analyze brain signals and use them for prediction?
Is modern science able to simulate brain and its functions?
This Research Topic is an open cross-field junction between technology, methodology, science and didactics to enable professional discussion and presentation of innovative and efficient ideas to maximize any possible benefits of the research to the society, at a technological and methodological level.
The authors are invited to submit articles covering latest advances on, but not limited to, the following topics:
• Internet of brain things;
• Deep learning for neuroimage and neurosignal processing;
• Virtual and Augmented Reality for neuroscience;
• Multimodal data fusion;
• Real world applications and simulation.
