Joint Models of Neural and Behavioral Data
This book presents a flexible Bayesian framework for combining neural and cognitive models. Traditionally, studies in cognition and cognitive sciences have been done by either observing behavior (e.g., response times, percentage correct, etc.) or by observing neural activity (e.g., the BOLD response...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Computational Approaches to Cognition and Perception,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Chapter 1. Motivation
- Chapter 2. A Tutorial on Joint Modeling
- Chapter 3. Assessing Model Performance with Generalization Tests
- Chapter 4. Applications
- Chapter 5. Future Directions
- Chapter 6. Other Approaches. .