Memory updating and the structure of event representations.

People form memories of specific events and use those memories to make predictions about similar new experiences. Living in a dynamic environment presents a challenge: How does one represent valid prior events in memory while encoding new experiences when things change? There is evidence for two seemingly contradictory classes of mechanism: One differentiates outdated event features by making them less similar or less accessible than updated event features. The other integrates updated features of new events with outdated memories, and the relationship between them, into a structured representation.

Modeling human activity comprehension at human scale: prediction, segmentation, and categorization.

Humans form sequences of -representations of the current situation-to predict how activity will unfold. Multiple mechanisms have been proposed for how the cognitive system determines when to segment the stream of behavior and switch from one active event model to another. Here, we constructed a computational model that learns knowledge about event classes (event schemas), by combining recurrent neural networks for short-term dynamics with Bayesian inference over event classes for event-to-event transitions.

Attention to event segmentation improves memory in young adults: A lifespan study.

People spontaneously segment an observed everyday activity into discrete, meaningful events, but segmentation can be modified by task goals. Asking young adults to attend to event segmentation while watching movies of everyday actions improved their memory up to 1 month later (Flores et al., 2017).

No evidence for chunking in spatial memory of route experience.

Spatial memory is important for supporting the successful completion of everyday activities and is a particularly vulnerable domain in late life. Grouping items together in memory, or chunking, can improve spatial memory performance. In memory for desktop scale spaces and well-learned large-scale environments, error patterns suggest that information is chunked in memory.