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Temporal memory accuracy and compression in event segmentation and narrative learning| title | Temporal memory accuracy and compression in event segmentation and narrative learning |
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| start_date | 2024/01/10 |
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| schedule | 14h |
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| online | no |
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| location_info | Salle Duyckaerts – B32 & Virtual |
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| summary | We can remember the temporal structure of previous events from memory. This helps us to remember when an important event occurred in the past, as well as develop an understanding of how events are temporally organized and form expectations about future events. However, there is growing evidence that temporal structure is reconstructed, rather than retrieved from memory, which suggests that cognitive factors may alter how we remember temporal structure. For example, items that are perceived as more similar are likely remembered as having occurred in closer temporal proximity than items that are perceived as more dissimilar. When remembering the timeline of multiple serial events, the degree of similarity between those events may “warp” the reconstructed timeline in a way that suggests temporal compression of those events. I will present findings from a number of recent studies in which we investigated the contribution of item similarity, event boundaries and familiarity to the warping of reconstructed temporal memory. Further, I will present a preliminary Bayesian modelling approach that may explain how these factors influence temporal memory reconstruction. |
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| responsibles | Grégoire |
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Workflow history| from state (1) | to state | comment | date |
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| submitted | published | | 2023/12/13 15:03 UTC |
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