About this Research Topic
Human behavior is significantly impacted by decision-making and cognitive processes, yet their complexity has led to their neural mechanisms being yet to be completely understood. The intricacy arises from the intertwined roles of decision-making, learning, memory, and perception. This Research Topic will explore the development and application of neurocomputational models to unlock the cognitive and neural processes behind decision-making, with a focus on online detection.
The goal of this Research Topic is to utilize neurocomputational models to shed light on the largely unknown cognitive and neural mechanisms in decision-making processes. By unraveling the enigma of these processes, we aim to foster a better understanding of these phenomena and, ultimately, enhance the prediction and improvement of human behavior. This initiative can be achieved through interdisciplinary collaboration that integrates neuroscience, psychology, and artificial intelligence principles, allowing the construction of a computational model that mimics cognitive phenomena observed in experimental contexts.
This Research Topic examines the cognitive and neuronal groundwork of decision-making, learning, memory, and perception. This field of research encourages novel contributions addressing the following themes:
• Advancement and application of neurocomputational models.
• Mechanisms of decision-making and other cognitive processes.
• Role of artificial intelligence in understanding cognitive phenomena.
• Experimental and real-world applications of cognitive models.
• Online detection and decision-making processes using neurocomputational approaches.
Interested authors are encouraged to submit various manuscript types, including original research papers, review articles, methodological practices, and case studies. All submitted manuscripts should be devoted to unraveling the links between decision-making, other cognitive processes, and their neural underpinnings, with a particular focus on neurocomputational modelling. Through this Research Topic, we aim to provide a platform for the advancements and applications of neurocomputation in understanding cognitive processes and decision-making.
The goal of this Research Topic is to utilize neurocomputational models to shed light on the largely unknown cognitive and neural mechanisms in decision-making processes. By unraveling the enigma of these processes, we aim to foster a better understanding of these phenomena and, ultimately, enhance the prediction and improvement of human behavior. This initiative can be achieved through interdisciplinary collaboration that integrates neuroscience, psychology, and artificial intelligence principles, allowing the construction of a computational model that mimics cognitive phenomena observed in experimental contexts.
This Research Topic examines the cognitive and neuronal groundwork of decision-making, learning, memory, and perception. This field of research encourages novel contributions addressing the following themes:
• Advancement and application of neurocomputational models.
• Mechanisms of decision-making and other cognitive processes.
• Role of artificial intelligence in understanding cognitive phenomena.
• Experimental and real-world applications of cognitive models.
• Online detection and decision-making processes using neurocomputational approaches.
Interested authors are encouraged to submit various manuscript types, including original research papers, review articles, methodological practices, and case studies. All submitted manuscripts should be devoted to unraveling the links between decision-making, other cognitive processes, and their neural underpinnings, with a particular focus on neurocomputational modelling. Through this Research Topic, we aim to provide a platform for the advancements and applications of neurocomputation in understanding cognitive processes and decision-making.
Keywords: decision making, cognitive processes, neurocomputational models
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.
