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Eye Movement Monitoring of Memory
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Belief embodiment through eye movements facilitates memory-guided navigation.

Akis Stavropoulos1, Kaushik J Lakshminarasimhan2, Dora E Angelaki1,3

  • 1Center for Neural Science, New York University, New York, NY, USA.

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Summary

Eye movements are vital for cognitive strategies, influencing working memory and navigation. This study shows how gaze tracking in a virtual task reflects internal beliefs, improving neural models.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Neural network models often predict neural activity but fail to explain distributed representations.
  • Task-specific paradigms may limit understanding by excluding natural behaviors like eye movements.

Purpose of the Study:

  • To investigate the role of eye movements in cognitive strategies during naturalistic tasks.
  • To explore how oculomotor signals contribute to evidence integration and navigation.
  • To develop and validate a neural network model incorporating embodied cognition principles.

Main Methods:

  • Human subjects performed a virtual reality task requiring joystick control and gaze tracking without position cues.
  • An inertial version of the task was used to assess strategy in the absence of optic flow.
  • A recurrent neural network model was developed, integrating oculomotor and frontoparietal circuits.

Main Results:

  • Subjects' eye movements physically tracked the latent task variable, reflecting evolving internal beliefs about the goal.
  • The developed neural network model successfully accounted for this gaze-tracking behavioral strategy.
  • The model incorporating oculomotor signals provided a better explanation of neural data from the posterior parietal cortex in monkeys compared to unconstrained models.

Conclusions:

  • Unconstrained movements, particularly eye movements, are crucial for working memory computations.
  • Oculomotor signals play a significant functional role in evidence-integration and navigation through embodied cognition.
  • This research highlights the importance of considering natural behaviors and embodied cognition in understanding neural computations.