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Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
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Task goals modulate the activation of part-based versus object-based representations in visual working memory.

Cody W McCants1, Tobias Katus1, Martin Eimer1

  • 1Department of Psychological Sciences, Birkbeck, University of London, London, UK.

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|July 18, 2019
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Summary
This summary is machine-generated.

Top-down control influences how visual objects are stored in working memory (WM). Task goals determine if objects are represented as parts or wholes, impacting WM load and neural activity.

Keywords:
Working memoryevent-related brain potentialsobject-based representationspart-based representationstop-down control

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Area of Science:

  • Cognitive Neuroscience
  • Psychology

Background:

  • Visual object representations in working memory (WM) can be part-based or object-based.
  • The role of top-down control in determining these representations is not fully understood.

Purpose of the Study:

  • To investigate whether top-down control processes determine part-based versus object-based representations in WM.
  • To examine how task goals influence the qualitative nature of visual stimuli maintained in WM.

Main Methods:

  • Utilized lateralised change detection tasks to assess WM maintenance.
  • Measured contralateral delay activity (CDA) as an electrophysiological marker of WM load.
  • Compared performance and CDA amplitudes between a 'Parts task' and a 'Whole task' with identical visual stimuli.

Main Results:

  • CDA amplitudes were significantly larger in the Parts task compared to the Whole task.
  • This indicates a higher effective WM load when maintaining individual shapes (parts) versus integrated objects.
  • Suggests separate maintenance of shapes in the Parts task and integrated object maintenance in the Whole task.

Conclusions:

  • Task goals can lead to qualitative differences in how identical visual stimuli are represented in WM.
  • Top-down control dynamically shapes WM representations based on task demands.
  • Provides evidence for flexible, goal-directed WM maintenance strategies.