About this Research Topic
In recent years, the rapid advancements in technology and our deepening understanding of the brain have propelled interdisciplinary collaborations to the forefront of scientific research. This Research Topic aims to showcase the synergies that emerge when the diverse domains of Neuroinformatics, Cognitive Computing, and Computational Neuroscience converge, providing a platform for researchers and practitioners to explore the fascinating interplay between the intricacies of the brain and the computational power of modern technologies.
Neuroinformatics, a field at the crossroads of neuroscience and information science, seeks to develop tools and methods for the organization, analysis, and interpretation of complex brain data. Cognitive Computing, inspired by the cognitive functions of the human brain, explores artificial intelligence models that can learn, reason, and solve problems in ways akin to human thought processes. Computational Neuroscience, on the other hand, leverages mathematical and computational techniques to model and simulate the complex neural networks that underlie brain function.
This Research Topic explores how experts in neuroinformatics, cognitive computing, and computational neuroscience can work together. Their combined efforts aim to help us better understand the brain, improve ways of solving real-world problems, and push forward in the field of artificial intelligence. Through a range of articles and reviews, the goal is to spotlight how their collaboration can lead to big new discoveries.
The scope of this collection includes, but is not limited to:
Neuroinformatics Integration
o Emphasis on the integration and harmonization of neuroinformatics tools, databases, and methodologies to facilitate seamless collaboration between neuroscientists, computer scientists, and data analysts.
o Exploration of novel approaches for data sharing, standardization, and interoperability to enhance the accessibility and usability of neuroscientific data.
Cognitive Computing Algorithms
o Investigation into the development and optimization of cognitive computing algorithms inspired by principles derived from cognitive neuroscience.
o Application of machine learning, deep learning, and other artificial intelligence techniques to model and simulate cognitive processes, fostering a deeper understanding of brain function and behavior.
Computational Neuroscience Applications
o Showcasing the latest advancements in computational neuroscience that contribute to unraveling the mysteries of neural systems, synaptic plasticity, and cognitive functions.
o Highlighting computational models and simulations that bridge the gap between theoretical neuroscience and practical applications in fields such as healthcare, robotics, and human-computer interaction.
Neurotechnology Innovations
o Presentation of groundbreaking neurotechnologies and tools that leverage insights from neuroinformatics, cognitive computing, and computational neuroscience.
o Discussions on the potential impact of emerging technologies, such as brain-machine interfaces, neuroprosthetics, and neuromorphic computing, on both research and practical applications.
Ethical and Social Implications
o Critical examination of the ethical considerations and societal implications associated with the integration of neuroinformatics, cognitive computing, and computational neuroscience.
o Exploration of responsible research practices, privacy concerns, and the broader societal impact of advancements in brain-related technologies.
Researchers, scientists, and practitioners are invited to submit original research articles, reviews, and case studies that contribute to the understanding and advancement of the interdisciplinary synergies in neuroinformatics, cognitive computing, and computational neuroscience. Submissions should address one or more of the key themes outlined above and demonstrate a significant impact on the field.
Neuroinformatics, a field at the crossroads of neuroscience and information science, seeks to develop tools and methods for the organization, analysis, and interpretation of complex brain data. Cognitive Computing, inspired by the cognitive functions of the human brain, explores artificial intelligence models that can learn, reason, and solve problems in ways akin to human thought processes. Computational Neuroscience, on the other hand, leverages mathematical and computational techniques to model and simulate the complex neural networks that underlie brain function.
This Research Topic explores how experts in neuroinformatics, cognitive computing, and computational neuroscience can work together. Their combined efforts aim to help us better understand the brain, improve ways of solving real-world problems, and push forward in the field of artificial intelligence. Through a range of articles and reviews, the goal is to spotlight how their collaboration can lead to big new discoveries.
The scope of this collection includes, but is not limited to:
Neuroinformatics Integration
o Emphasis on the integration and harmonization of neuroinformatics tools, databases, and methodologies to facilitate seamless collaboration between neuroscientists, computer scientists, and data analysts.
o Exploration of novel approaches for data sharing, standardization, and interoperability to enhance the accessibility and usability of neuroscientific data.
Cognitive Computing Algorithms
o Investigation into the development and optimization of cognitive computing algorithms inspired by principles derived from cognitive neuroscience.
o Application of machine learning, deep learning, and other artificial intelligence techniques to model and simulate cognitive processes, fostering a deeper understanding of brain function and behavior.
Computational Neuroscience Applications
o Showcasing the latest advancements in computational neuroscience that contribute to unraveling the mysteries of neural systems, synaptic plasticity, and cognitive functions.
o Highlighting computational models and simulations that bridge the gap between theoretical neuroscience and practical applications in fields such as healthcare, robotics, and human-computer interaction.
Neurotechnology Innovations
o Presentation of groundbreaking neurotechnologies and tools that leverage insights from neuroinformatics, cognitive computing, and computational neuroscience.
o Discussions on the potential impact of emerging technologies, such as brain-machine interfaces, neuroprosthetics, and neuromorphic computing, on both research and practical applications.
Ethical and Social Implications
o Critical examination of the ethical considerations and societal implications associated with the integration of neuroinformatics, cognitive computing, and computational neuroscience.
o Exploration of responsible research practices, privacy concerns, and the broader societal impact of advancements in brain-related technologies.
Researchers, scientists, and practitioners are invited to submit original research articles, reviews, and case studies that contribute to the understanding and advancement of the interdisciplinary synergies in neuroinformatics, cognitive computing, and computational neuroscience. Submissions should address one or more of the key themes outlined above and demonstrate a significant impact on the field.
Keywords: Neuroinformatics, Cognitive Computing, Computational, Neuroscience, Brain Science, Computational Models, Cognitive Systems, Information Processing
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.
