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The nature of neural object representations during dynamic occlusion

Lina Teichmann*, Denise Moerel, Anina N. Rich, Chris I. Baker

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Objects disappearing briefly from sight due to occlusion is an inevitable occurrence in everyday life. Yet we generally have a strong experience that occluded objects continue to exist, despite the fact that they objectively disappear. This indicates that neural object representations must be maintained during dynamic occlusion. However, it is unclear what the nature of such representation is and in particular whether it is perception-like or more abstract, for example, reflecting limited features such as position or movement direction only. In this study, we address this question by examining how different object features such as object shape, luminance, and position are represented in the brain when a moving object is dynamically occluded. We apply multivariate decoding methods to Magnetoencephalography (MEG) data to track how object representations unfold over time. Our methods allow us to contrast the representations of multiple object features during occlusion and enable us to compare the neural responses evoked by visible and occluded objects. The results show that object position information is represented during occlusion to a limited extent while object identity features are not maintained through the period of occlusion. Together, this suggests that the nature of object representations during dynamic occlusion is different from visual representations during perception.

Original languageEnglish
Pages (from-to)66-86
Number of pages21
JournalCortex
Volume153
DOIs
Publication statusPublished - Aug 2022

Bibliographical note

Funding Information:
This study was supported by the Intramural Research Program of the National Institutes of Health ( ZIA-MH-002909 ), under National Institute of Mental Health Clinical Study Protocol 93-M-1070 ( NCT00001360 ). The collection of the pilot data was supported by the KIT-Macquarie Brain Research (MEG) Laboratory , Department of Cognitive Science, Macquarie University, and ARC Discovery Projects ( DP170101780 and DP170101840 ) awarded to ANR.

Funding Information:
This study was supported by the Intramural Research Program of the National Institutes of Health (ZIA-MH-002909), under National Institute of Mental Health Clinical Study Protocol 93-M-1070 (NCT00001360). The collection of the pilot data was supported by the KIT-Macquarie Brain Research (MEG) Laboratory, Department of Cognitive Science, Macquarie University, and ARC Discovery Projects (DP170101780 and DP170101840) awarded to ANR. The authors would like to thank the NIH-MEG Core for technical support and Kyle Behel, Sanika Paranjape, Grace Edwards, Alex Schmid, Malcolm Udeozor, Austin Greene, Beth Rispoli, Amanda Patterson, and Spencer Andrews for help with data collection.

Publisher Copyright:
© 2022

Keywords

  • visual perception
  • occlusion
  • perceptual gaps
  • MEG

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