Temporal asymmetry of neural representations predicts memory decisions
Ye, Z.; Zhao, Y.; Allen, E. J.; Naselaris, T.; Kay, K.; Hutchinson, J. B.; Kuhl, B. A.
Show abstract
A stimulus can be familiar for multiple reasons. It might have been recently encountered, or is similar to recent experience, or is similar to typical experience. Understanding how the brain translates these sources of similarity into memory decisions is a fundamental, but challenging goal. Here, using fMRI, we computed neural similarity between a current stimulus and events from different temporal windows in the past and future (from seconds to days). We show that trial-by-trial memory decisions (is this stimulus old?) were predicted by the difference in similarity to past vs. future events (temporal asymmetry). This relationship was (i) evident in lateral parietal and occipitotemporal cortices, (ii) strongest when considering events from the recent past (minutes ago), and (iii) most pronounced when veridical (true) memories were weak. These findings suggest a new perspective in which the brain supports memory decisions by comparing what actually occurred to what is likely to occur.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Mapping multidimensional content representations to neural and behavioral expressions of episodic memory 97%
- Neural similarity between overlapping events at learning differentially affects reinstatement across the cortex 97%
- Bayesian model selection favors parametric over categorical fMRI subsequent memory models in young and older adults 97%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- The locus of recognition memory signals in human cortex depends on the complexity of the memory representations 97%
- Age differences in retrieval-related reinstatement reflect age-related dedifferentiation at encoding 96%
- Prediction errors for aversive events shape long-term memory formation through a distinct neural mechanism 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.