Abstract
In this chapter we discuss the role of statistical reciprocity in using neural data to inform cognitive models. We begin by discussing how neural data can guide the development of cognitive models, and then progress into discussing how linking functions can be specified and estimated in a variety ways. Each of these ways constitutes a different type of joint model, each with their own advantages and disadvantages. The organization of the book is then provided.
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Turner, B.M., Forstmann, B.U., Steyvers, M. (2019). Motivation. In: Joint Models of Neural and Behavioral Data. Computational Approaches to Cognition and Perception. Springer, Cham. https://doi.org/10.1007/978-3-030-03688-1_1
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DOI: https://doi.org/10.1007/978-3-030-03688-1_1
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