Abstract
This tutorial chapter shows how the separate fields of mathematical psychology and cognitive neuroscience can interact to their mutual benefit. Historically, the field of mathematical psychology is mostly concerned with formal theories of behavior, whereas cognitive neuroscience is mostly concerned with empirical measurements of brain activity. Despite these superficial differences in method, the ultimate goal of both disciplines is the same: to understand the workings of human cognition. In recognition of this common purpose, mathematical psychologists have recently started to apply their models in cognitive neuroscience, and cognitive neuroscientists have borrowed and extended key ideas that originated from mathematical psychology. This chapter consists of three main sections: the first describes the field of mathematical psychology, the second describes the field of cognitive neuroscience, and the third describes their recent combination: model-based cognitive neuroscience.
Keywords
- Blood Oxygenation Level Dependent
- Cognitive Neuroscience
- Drift Rate
- Mathematical Psychology
- Blood Oxygenation Level Dependent Signal
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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- 1.
At the 2009 annual meeting of the Society for Mathematical Psychology, one of the plenary speakers discussed some of his beginning exploits in cognitive neuroscience. Following his talk, the first question from the audience was whether he had now “joined the dark force”.
- 2.
In this popular perceptual task, the participant has to judge the apparent direction of a cloud of moving dots.
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Forstmann, B., Wagenmakers, EJ. (2015). Model-Based Cognitive Neuroscience: A Conceptual Introduction. In: Forstmann, B., Wagenmakers, EJ. (eds) An Introduction to Model-Based Cognitive Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2236-9_7
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