Publications

Explore publications behind our memory assessment.

functional connectivity
Despite the importance of memories in everyday life and the progress made in understanding how they are encoded and retrieved, the neural processes by which declarative memories are maintained or forgotten remain elusive. Part of the problem is that it is empirically difficult to measure the rate at which memories fade and, without such a measure, it is hard to identify the corresponding neural correlates. This study addresses this problem using a combination of individual differences, model-based inferences, and resting-state functional connectivity.
In this study, we focus on learners with dyslexia. We compare their performance to the performance of typical learners in our adaptive fact-learning system using both typing-based and speech-based response conditions. We find that typical learners outperform learners with dyslexia when they are asked to respond by typing, but that this difference is much smaller when learners can respond by speech.
SoF over age
We know long-term memory changes with age, but how does it evolve over a lifetime? Is your memory at 80 worse than it was as a preschooler? When does it peak? Thanks to Anaïs Capik’s leadership and a collaboration across three labs on two continents, we may have some answers. The biggest challenge in measuring memory across wide age ranges is the lack of a universal standard, and most tests fail to work effectively for all ages. Hedderik van Rijn’s MemoryLab adaptive software offers a promising solution.
Results Paper Benefits of Adaptive Learning Transfer from Typing-Based Learning to Speech-Based Learning
Adaptive learning systems have been successfully applied to word learning using keyboard-based input, but they have seen little application in spoken word learning. We show that typing and speech-based learning result in similar behavioral patterns that can reliably estimate individual memory processes. This is particularly beneficial for individuals with impaired typing skills, such as elderly learners. Importantly, we also show all that our assessment strongly correlates with two validated memory assessments: the MoCA and the CERAD.
Results Paper Reflections of idiographic long-term memory characteristics in resting-state neuroimaging data
Here, the individual speed of forgetting in long-term memory is correlated with a readily available, task-free neuroimaging measure: the resting-state EEG spectrum. Statistical analyses revealed that individual rates of forgetting were significantly correlated across verbal and visual materials. These findings suggest that model parameters that reliably characterize an individual's performance, such as speed of forgetting can be observed in that individual's neurophysiological activity at rest.
Results Paper Exploration of the rate of forgetting as a domain-specific individual differences measure
This study investigates whether domain-general individual differences, such as working memory capacity (WMC) and general cognitive ability (GCA), can inform the selection of initial parameters in adaptive fact-learning systems. These systems typically begin with default parameters, which are adjusted based on learners' responses during the learning process. The goal was to determine if WMC and GCA, measured prior to learning sessions, could improve the accuracy of initial model parameters, specifically those that affect repetition schedules. The study found no significant relationship between WMC, GCA, and learning outcomes, suggesting that executive functioning and attentional control do not significantly predict delayed recall.
Results Paper An individual's rate of forgetting is stable over time but differs across materials
Our adaptive algorithm model is tailored to individual learners and outperforms traditional systems by continuously updating the estimated speed of forgetting for each item based on learners' accuracy and reaction time. In this paper, we investigate whether the speed of forgetting remains stable over time and across different materials. We demonstrate that they are stable over time but not across materials.

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Researcher at MemoryLab

Thomas Wilschut

Researcher & Partnership Coordinator

anais-capik

Anais Capik

Project Coordinator

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