Published February 2013 | Version Published
Journal Article Open

Pupil size signals novelty and predicts later retrieval success for declarative memories of natural scenes

  • 1. ROR icon Philipp University of Marburg
  • 2. ROR icon Max Planck Institute for Brain Research
  • 3. ROR icon Cedars-Sinai Medical Center

Abstract

Declarative memories of personal experiences are a key factor in defining oneself as an individual, which becomes particularly evident when this capability is impaired. Assessing the physiological mechanisms of human declarative memory is typically restricted to patients with specific lesions and requires invasive brain access or functional imaging. We investigated whether the pupil, an accessible physiological measure, can be utilized to probe memories for complex natural visual scenes. During memory encoding, scenes that were later remembered elicited a stronger pupil constriction compared to scenes that were later forgotten. Thus, pupil size predicts success or failure of memory formation. In contrast, novel scenes elicited stronger pupil constriction than familiar scenes during retrieval. When viewing previously memorized scenes, those that were forgotten (misjudged as novel) still elicited stronger pupil constrictions than those correctly judged as familiar. Furthermore, pupil constriction was influenced more strongly if images were judged with high confidence. Thus, we propose that pupil constriction can serve as a marker of novelty. Since stimulus novelty modulates the efficacy of memory formation, our pupil measurements during learning indicate that the later forgotten images were perceived as less novel than the later remembered pictures. Taken together, our data provide evidence that pupil constriction is a physiological correlate of a neural novelty signal during formation and retrieval of declarative memories for complex, natural scenes.

Additional Information

© 2013 ARVO. Received August 20, 2012; published February 8, 2013. We thank Steffen Klingenhoefer for discussion. This work was supported by the German Research Foundation (DFG) through Research Training Group 885 "NeuroAct" – (MN), grants EI852/1 and EI852/3 (WE), and by the Max Planck Society (UR). Authors MN and SF contributed equally to this article. Commercial relationships: none.

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Identifiers

Eprint ID
102363
Resolver ID
CaltechAUTHORS:20200406-150034428

Funding

Deutsche Forschungsgemeinschaft (DFG)
885
Deutsche Forschungsgemeinschaft (DFG)
EI852/1
Deutsche Forschungsgemeinschaft (DFG)
EI852/3
Max Planck Society

Dates

Created
2020-04-06
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Updated
2021-11-16
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