A tutorial on joint models of neural and behavioral measures of cognition

DOI10.1016/j.jmp.2018.03.003zbMath1416.91329OpenAlexW2796540595WikidataQ129989442 ScholiaQ129989442MaRDI QIDQ1795307

Mark Steyvers, Brandon M. Turner, Per B. Sederberg, James J. Palestro, Giwon Bahg, Zhong-Lin Lu

Publication date: 16 October 2018

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2018.03.003

zbMATH Keywords

Bayesian modelingjoint modelsmodel-based cognitive neuroscienceneural and behavioral measures

Mathematics Subject Classification ID

Neural biology (92C20) Cognitive psychology (91E10) Software, source code, etc. for problems pertaining to game theory, economics, and finance (91-04) Applications of statistics to psychology (62P15)

Related Items (2)

Neuro-cognitive models of single-trial EEG measures describe latent effects of spatial attention during perceptual decision making ⋮ Joint Latent Space Model for Social Networks with Multivariate Attributes

Uses Software

• JAGS
• Stan
• BayesDA
• FSL
• jags-wiener

Cites Work

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• A step-by-step tutorial on using the cognitive architecture ACT-R in combination with fMRI data
• How attention influences perceptual decision making: single-trial EEG correlates of drift-diffusion model parameters
• A confirmatory approach for integrating neural and behavioral data into a single model
• On the efficiency of neurally-informed cognitive models to identify latent cognitive states
• Models for choice-reaction time
• Handbook of Functional MRI Data Analysis
• The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks

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