Abstract
Scene memory is more detailed than you think: the role of categories in visual long-term memory
Observers can store thousands of object images in visual long-term memory with high
fidelity, but the fidelity of scene representations in long-term memory is not known.
Here we probed this fidelity by varying the number of studied exemplars in each scene
category and testing memory using exemplar-level foils. Observers viewed thousands of
scenes over 5.5 hours, and were tested with a series of forced-choice tests. Memory
performance was high, even with up to 64 scenes from the same category in memory.
Moreover, there was only a 2% decrease in accuracy for each doubling of the number of
studied scene exemplars. Surprisingly, this degree of categorical interference was similar
to that previously demonstrated in object memory. Thus, while scenes have often been
defined as a superset of objects, our results suggest that scenes and objects may be best
treated as entities at a similar level of abstraction in visual long-term memory.
