| 书目名称 | Joint Models of Neural and Behavioral Data |
| 编辑 | Brandon M. Turner,Birte U. Forstmann,Mark Steyvers |
| 视频video | |
| 概述 | Presents a one-of-its-kind flexible Bayesian framework for combining neural and cognitive models.Provides an approach that reveals interactions between behavioral and neural parameters.Offers tools an |
| 丛书名称 | Computational Approaches to Cognition and Perception |
| 图书封面 |  |
| 描述 | .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 candidat |
| 出版日期 | Book 2019 |
| 关键词 | Joint Modeling; Joint modeling framework; Hierarchical Bayesian Modeling; Simultaneous Modeling; Cogniti |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-03688-1 |
| isbn_ebook | 978-3-030-03688-1Series ISSN 2510-1889 Series E-ISSN 2510-1897 |
| issn_series | 2510-1889 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 19:24:35
