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Motivation

  • Brandon M. Turner
  • Birte U. Forstmann
  • Mark Steyvers
Chapter
Part of the Computational Approaches to Cognition and Perception book series (CACP)

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.

Keywords

Reciprocity Linking Types of joint models 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Brandon M. Turner
    • 1
  • Birte U. Forstmann
    • 2
  • Mark Steyvers
    • 3
  1. 1.Department of PsychologyThe Ohio State UniversityColumbusUSA
  2. 2.Cognitive Science CenterUniversity of AmsterdamAmsterdamThe Netherlands
  3. 3.Department of Cognitive SciencesUniversity of California, IrvineIrvineUSA

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