About this Research Topic
Emotions are the most important biological and psychological functions for understanding, predicting, and controlling human behavior and cognition. Emotions have been studied and modeled empirically, in the behavioral, cognitive, and neuroscientific fields, vis a vis their importance in our understanding of our biological and psychological functions. Advances in Neuroscientific research have helped enable these advances in our understanding, including the development of functional brain imaging methods and computational Neuroscience approaches to emotion modeling, expanding the possibilities for understanding, predicting, and controlling emotion.
Precise emotion modeling makes it possible to predict emotions and their associated cognition and behavior, and the application of this can be extended to fields outside Neuroscience, including education and industry. To that end, emotion modeling is an interdisciplinary Topic which tackles two problems simultaneously: understanding emotions (basic scientific research) and predicting and controlling them (applied research). However, in both cases, emotions need to be modeled elaborately.
Modeling is the process of abstracting a concept from a particular point of view. Emotion modeling is an abstraction that reflects the perspectives of various research fields, taken together with an understanding of the neural basis of emotion. This Topic, therefore, aims to bring together research focused on emotion modeling from different disciplines to advance Neuroscience-based understanding, prediction, and control of emotions.
We welcome contributions that that advance our Neuroscientific understanding, predicting, and controlling emotions, as well as the application of this in solving real-world problems. This includes, but is not limited to, themes that address:
- Neural modeling of emotions
- Computational neuroscience approaches to emotion modeling
- Mathematical or computer simulation models of emotions
- Cognitive model of emotion
- The relationship between emotion and other cognitive functions
- The relationship between emotion and behavior
Precise emotion modeling makes it possible to predict emotions and their associated cognition and behavior, and the application of this can be extended to fields outside Neuroscience, including education and industry. To that end, emotion modeling is an interdisciplinary Topic which tackles two problems simultaneously: understanding emotions (basic scientific research) and predicting and controlling them (applied research). However, in both cases, emotions need to be modeled elaborately.
Modeling is the process of abstracting a concept from a particular point of view. Emotion modeling is an abstraction that reflects the perspectives of various research fields, taken together with an understanding of the neural basis of emotion. This Topic, therefore, aims to bring together research focused on emotion modeling from different disciplines to advance Neuroscience-based understanding, prediction, and control of emotions.
We welcome contributions that that advance our Neuroscientific understanding, predicting, and controlling emotions, as well as the application of this in solving real-world problems. This includes, but is not limited to, themes that address:
- Neural modeling of emotions
- Computational neuroscience approaches to emotion modeling
- Mathematical or computer simulation models of emotions
- Cognitive model of emotion
- The relationship between emotion and other cognitive functions
- The relationship between emotion and behavior
Keywords: Emotion, Model, Affect, Appraisal, Computation
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.
