About this Research Topic
While models generally are required to be normative (or standard) and explain a wide range of neural and behavioral phenomena, some models address very specific phenomena and are limited in scope. This issue is becoming more serious with the increasing availability of large data sets regarding different types of neural characteristics, from molecular data to neuronal activity to anatomical characteristics, though the modeling of these brain characteristics would allow us to understand individual behaviors as a phenotype. Even for specialists in the field of computational neuroscience, it can be difficult to follow the core of the models across the breadth of the field. In facing this complicated situation, it would be helpful to accelerate the follow-up of the latest models and their integration in the field of computational neuroscience towards an understanding of decision making and motor control.
This Research Topic aims to collect research that focuses on the computational algorithms and/or examination of its implementation in the field from decision making to motor control in human and animals. The mathematical modeling of neural and behavioral phenomena is most suitable for the topic, while both simulation and construction of the models with and without the experimental data are targeted. We believe many contributions from potential authors enable the topic to be a milestone for the next decade.
Keywords: computational model, animal, decision making, motor control
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.