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020 _a9783030036874
040 _aCIBESPAM MFL
041 _aeng
082 _a006.31
_bT944
100 _aTurner, Brandon M.
245 _aJoint models of neural and behavioral data.
250 _aFirst Edition
260 _aSwitzerland
_bSpringer Nature
_c2019
300 _axiii, 109 pages;
_bIlustrations;
490 _aComputational Approaches to Cognition and Perception.
505 _a--Motivation --A Tutorial on Joint Modeling --Assessing Model Performance with Generalization Tests --Applications --Future Directions --Other Approaches --Conclusions
520 _aThis 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 _aPsychology
650 _aComputing
650 _aCombining neural
650 _aCognitive models
700 _aForstmann, Birte U.
700 _aSteyvers, Mark
856 _uhttps://link.springer.com/book/10.1007/978-3-030-03688-1#book-header
912 _c2023-12-20
_dPaúl Villacreses
913 _aTIC
_bCC
_dSCSAS
942 _2ddc
_cBK
999 _c13023
_d13023