Measuring interference from prior memories using experience sampling
Grant number: DE170100106 | Funding period: 2017 - 2021
The project aims to better understand the causes of forgetting in recognition memory. This project will measure participants' experiences using smartphone technology for four weeks before a recognition memory experiment. Similarities between the images in the experiment and images in prior experience can be used to fully specify all interference components within a computational model of recognition memory, leading to a complete model of recognition memory. Better understanding the causes of forgetting in recognition memory could show how interference contributes to memory impairments in ageing, and ultimately Alzheimer’s and other clinical disorders.
Related publications (9)
Modeling the dynamics of recognition memory testing with an integrated model of retrieval and decision making
Adam F Osth, Anna Jansson, Simon Dennis, Andrew Heathcote
A robust finding in recognition memory is that performance declines monotonically across test trials. Despite the prevalence of th..
A diffusion decision model analysis of evidence variability in the lexical decision task
Gabriel Tillman, Adam F Osth, Don van Ravenzwaaij, Andrew Heathcote
The lexical-decision task is among the most commonly used paradigms in psycholinguistics. In both the signal-detection theory and ..
Diffusion vs. linear ballistic accumulation: Different models, different conclusions about the slope of the zROC in recognition memory
Adam F Osth, Beatrice Bora, Simon Dennis, Andrew Heathcote
The relative amount of variability in memory strength for targets vs. lures in recognition memory is commonly measured using the r..