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Motivation

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Joint Models of Neural and Behavioral Data

Part of the book series: Computational Approaches to Cognition and Perception ((CACP))

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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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Author information

Authors and Affiliations

  1. Department of Psychology, The Ohio State University, Columbus, OH, USA

    Brandon M. Turner

  2. Cognitive Science Center, University of Amsterdam, Amsterdam, The Netherlands

    Birte U. Forstmann

  3. Department of Cognitive Sciences, University of California, Irvine, Irvine, CA, USA

    Mark Steyvers

Authors
  1. Brandon M. Turner
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  2. Birte U. Forstmann
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  3. Mark Steyvers
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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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