1048370291  

Joint Models of Neural and Behavioral Data / by Brandon M. Turner, Birte U. Forstmann, Mark Steyvers

Forstmann, Birte U. *1976-* [VerfasserIn] ; Steyvers, Mark [VerfasserIn]

Englisch

Cham : Springer International Publishing, 2019

Online-Ressource (XIII, 109 p. 29 illus., 25 illus. in color, online resource)

Erscheint auch als (Druck-Ausgabe) : ISBN 978-3-030-03687-4

Printed edition: ISBN 9783030036874

Printed edition: ISBN 9783030036898

978-3-030-03688-1

Weitere Ausgaben: 978-3-030-03687-4 (Druckausgabe), 978-3-030-03689-8 (Druckausgabe)

DOI: 10.1007/978-3-030-03688-1

*Consciousness ; Psychology, clinical ; Psychological tests and testing ; Consciousness ; Psychology, clinical ; Psychological tests and testing ; Psychology, Experimental ; Psychometrics ; Psychology, Experimental ; Psychometrics ; Cognitive Psychology ; Psychological measurement. ; PsychologyMethodology. ; Neuropsychology.

Klassifikation der Library of Congress: BF201

Dewey Dezimal-Klassifikation: 153;

Thema – the subject category scheme for a global book trade: JMR

Book Industry Communication: JMR

bisacsh: PSY008000

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). These two types of observations have traditionally supported two separate lines of study, which are led by two different cognitive modelers. Joining neuroimaging and computational modeling in a single hierarchical framework allows the neural data to influence the parameters of the cognitive model and allows behavioral data to constrain the neural model. This Bayesian approach can be used to reveal interactions between behavioral and neural parameters, and ultimately, between neural activity and cognitive mechanisms. Chapters demonstrate the utility of this Bayesian model with a variety of applications, and feature a tutorial chapter where the methods can be applied to an example problem. The book also discusses other joint modeling approaches and future directions. Joint Models of Neural and Behavioral Data will be of interest to advanced graduate students and postdoctoral candidates in an academic setting as well as researchers in the fields of cognitive psychology and neuroscience

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

 

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https://doi.org/10.1007/978-3-030-03688-1 [E-books (Springer)]