Revealing multisensory benefit with diffusion modeling

DOI10.1016/J.JMP.2020.102449zbMath1455.91193OpenAlexW3091771522MaRDI QIDQ826941

Aaron R. Seitz, Arit Glicksohn, E. Sebastian Lelo de Larrea-Mancera, Ladan Shams, Carolyn A. Murray

Publication date: 6 January 2021

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

Full work available at URL: https://doi.org/10.1016/j.jmp.2020.102449

zbMATH Keywords

drift diffusion modelmultisensory benefitsmultisensory processingperceptual processing

Mathematics Subject Classification ID

Psychophysics and psychophysiology; perception (91E30) Experimental work for problems pertaining to game theory, economics, and finance (91-05)

Uses Software

• HDDM
• Psychophysics Toolbox

Cites Work

• Unnamed Item
• Simple matrix methods for analyzing diffusion models of choice probability, choice response time, and simple response time
• Inference from iterative simulation using multiple sequences
• Optimizing sequential decisions in the drift-diffusion model
• Intersensory facilitation of reaction time: Evaluation of counter and diffusion coactivation models
• Bayesian Measures of Model Complexity and Fit
• The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks

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