國立虎尾科技大學 |

Joint Models of Neural and Behavioral Data

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Joint Models of Neural and Behavioral Data/ by Brandon M. Turner, Birte U. Forstmann, Mark Steyvers.
Author:	Turner, Brandon M.
other author:	Forstmann, Birte U.
Description:	XIII, 109 p. 29 illus., 25 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Cognitive psychology. -
Online resource:	https://doi.org/10.1007/978-3-030-03688-1
ISBN:	9783030036881

Joint Models of Neural and Behavioral Data
Turner, Brandon M.

Joint Models of Neural and Behavioral Data[electronic resource] /by Brandon M. Turner, Birte U. Forstmann, Mark Steyvers. - 1st ed. 2019. - XIII, 109 p. 29 illus., 25 illus. in color.online resource. - Computational Approaches to Cognition and Perception,2510-1889 . - Computational Approaches to Cognition and Perception,.

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. .

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. .

ISBN: 9783030036881

Standard No.: 10.1007/978-3-030-03688-1doiSubjects--Topical Terms:

556029
Cognitive psychology.

LC Class. No.: BF201

Dewey Class. No.: 153

Joint Models of Neural and Behavioral Data
LDR:02959nam a22003975i 4500 001 1005634
003 DE-He213
005 20200706204601.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030036881 $9 978-3-030-03688-1
024 7 $a 10.1007/978-3-030-03688-1 $2 doi
035 $a 978-3-030-03688-1
050 4 $a BF201
072 7 $a JMR $2 bicssc
072 7 $a PSY008000 $2 bisacsh
072 7 $a JMR $2 thema
082 0 4 $a 153 $2 23
100 1 $a Turner, Brandon M. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1281468
245 1 0 $a Joint Models of Neural and Behavioral Data $h [electronic resource] / $c by Brandon M. Turner, Birte U. Forstmann, Mark Steyvers.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XIII, 109 p. 29 illus., 25 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Computational Approaches to Cognition and Perception, $x 2510-1889
505 0 $a 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. .
520 $a 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. .
650 0 $a Cognitive psychology. $3 556029
650 0 $a Neuropsychology. $3 556286
650 0 $a Psychology—Methodology. $3 1254003
650 0 $a Psychological measurement. $3 1254004
650 0 $a Psychology, Experimental. $3 556339
650 0 $a Psychometrics. $3 558112
650 1 4 $a Cognitive Psychology. $3 593892
650 2 4 $a Psychological Methods/Evaluation. $3 677588
650 2 4 $a Experimental Psychology. $3 1104898
700 1 $a Forstmann, Birte U. $e editor. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1262072
700 1 $a Steyvers, Mark. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1299063
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030036874
776 0 8 $i Printed edition: $z 9783030036898
830 0 $a Computational Approaches to Cognition and Perception, $x 2510-1889 $3 1281292
856 4 0 $u https://doi.org/10.1007/978-3-030-03688-1
912 $a ZDB-2-BSP
912 $a ZDB-2-SXBP
950 $a Behavioral Science and Psychology (SpringerNature-41168)
950 $a Behavioral Science and Psychology (R0) (SpringerNature-43718)