Geometric models reveal behavioural and neural signatures of transforming experiences into memories

Andrew C. Heusser, Paxton C. Fitzpatrick and Jeremy R. Manning ()
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Andrew C. Heusser: Dartmouth College
Paxton C. Fitzpatrick: Dartmouth College
Jeremy R. Manning: Dartmouth College

Nature Human Behaviour, 2021, vol. 5, issue 7, 905-919

Abstract: Abstract How do we preserve and distort our ongoing experiences when encoding them into episodic memories? The mental contexts in which we interpret experiences are often person-specific, even when the experiences themselves are shared. Here we develop a geometric framework for mathematically characterizing the subjective conceptual content of dynamic naturalistic experiences. We model experiences and memories as trajectories through word-embedding spaces whose coordinates reflect the universe of thoughts under consideration. Memory encoding can then be modelled as geometrically preserving or distorting the ‘shape’ of the original experience. We applied our approach to data collected as participants watched and verbally recounted a television episode while undergoing functional neuroimaging. Participants’ recountings preserved coarse spatial properties (essential narrative elements) but not fine spatial scale (low-level) details of the episode’s trajectory. We also identified networks of brain structures sensitive to these trajectory shapes.

Date: 2021
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DOI: 10.1038/s41562-021-01051-6

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