Quantifying cognitive states, such as memory, focus, perception, and emotion, is a complex challenge as they are highly subjective and psychological. However, understanding how the brain processes cognition is crucial for making breakthroughs in clinical, engineering, and entertainment fields.
One potential application of cognitive state quantification is in clinical populations, where the current diagnostic techniques for affective disorders are qualitative, subjective, and time-consuming. Quantitative models of cognition have the potential to contribute to more effective diagnosis and treatment of these conditions. Additionally, cognitive state quantification may have significant applications in nonclinical domains, such as artificial intelligence, neuromorphic engineering, gaming, and neuromarketing.
The proposed Research Topic provides a platform for researchers and practitioners to disseminate original research outcomes in computational neuroscience. The focus is on descriptive, mechanistic, and normative computational models, utilizing informatics technologies, particularly machine learning and artificial intelligence. This Topic aims to address issues related to human brain functionality, using computational cognitive models, and solicits quality research works on emerging information technologies and advanced neuroimaging techniques.
This Research Topic invites studies that explore the basic mechanisms of cognition in healthy and patient populations using direct or indirect modalities. These may include research in animal models, computational models, or other relevant methods.
Keywords:
cognition, emotion, perception, memory, computational neuroscience
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.
Quantifying cognitive states, such as memory, focus, perception, and emotion, is a complex challenge as they are highly subjective and psychological. However, understanding how the brain processes cognition is crucial for making breakthroughs in clinical, engineering, and entertainment fields.
One potential application of cognitive state quantification is in clinical populations, where the current diagnostic techniques for affective disorders are qualitative, subjective, and time-consuming. Quantitative models of cognition have the potential to contribute to more effective diagnosis and treatment of these conditions. Additionally, cognitive state quantification may have significant applications in nonclinical domains, such as artificial intelligence, neuromorphic engineering, gaming, and neuromarketing.
The proposed Research Topic provides a platform for researchers and practitioners to disseminate original research outcomes in computational neuroscience. The focus is on descriptive, mechanistic, and normative computational models, utilizing informatics technologies, particularly machine learning and artificial intelligence. This Topic aims to address issues related to human brain functionality, using computational cognitive models, and solicits quality research works on emerging information technologies and advanced neuroimaging techniques.
This Research Topic invites studies that explore the basic mechanisms of cognition in healthy and patient populations using direct or indirect modalities. These may include research in animal models, computational models, or other relevant methods.
Keywords:
cognition, emotion, perception, memory, computational neuroscience
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.