Likelihood ratio sequential sampling models of recognition memory

Adam F Osth; Simon Dennis; Andrew Heathcote

Journal article

Likelihood ratio sequential sampling models of recognition memory

Adam F Osth, Simon Dennis, Andrew Heathcote

Cognitive Psychology | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2017

DOI: 10.1016/j.cogpsych.2016.11.007

University of Melbourne Researchers

Adam Osth Author Melbourne School of Psychological Sciences

Simon Dennis Author Melbourne School of Psychological Sciences

Related Projects (1)

Measuring Interference From Prior Memories Using Experience Sampling

The project aims to better understand the causes of forgetting in recognition memory. This project will measure participants' experiences us..

Grants

Awarded by Australian Research Council, ARC

Funding Acknowledgements

We would like to thank Jeff Starns and Amy Criss for generously providing their data, Matthew Gretton for coding up a Python wrapper for fast-DM, Brandon Turner for some indispensable advice on achieving convergence with hierarchical models, and Caren Rotello and two anonymous reviewers for providing very helpful comments on a previous version of this manuscript. This work was supported by a grant from the Australian Research Council, ARC DP150100272, awarded to Simon Dennis, Andrew Heathcote, and Vladimir Sloutsky.