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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Turner, Brandon M. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Forstmann, Birte U. (http://id.loc.gov/vocabulary/relators/aut), Steyvers, Mark (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Computational Approaches to Cognition and Perception,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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. .