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Related Experiment Video

Updated: Jan 25, 2026

Study Design for Navigated Repetitive Transcranial Magnetic Stimulation for Speech Cortical Mapping
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Study Design for Navigated Repetitive Transcranial Magnetic Stimulation for Speech Cortical Mapping

Published on: March 24, 2023

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Composing egocentric and allocentric maps for flexible navigation.

Daniel Shani1,2,3, Peter Dayan1,2

  • 1Max Planck Institute for Biological Cybernetics, Tübingen, Germany.

Plos Computational Biology
|January 23, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces egocentric successor representations (SRs) combined with allocentric SRs for navigation. This integration enhances an agent's ability to learn policies and adapt to new environments efficiently.

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Area of Science:

  • Cognitive Science
  • Neuroscience
  • Artificial Intelligence

Background:

  • Egocentric representations are traditionally limited to simple behaviors.
  • Egocentric representations may exist in the hippocampal formation.
  • Modern navigation methods have not fully integrated egocentric representations.

Purpose of the Study:

  • Investigate egocentric successor representations (SRs).
  • Combine egocentric SRs with allocentric representations for navigation.
  • Develop a reinforcement learning agent for complex 2D environments.

Main Methods:

  • Built a reinforcement learning agent.
  • Combined egocentric and allocentric SRs.
  • Trained the agent in complex 2D environments.

Main Results:

  • The agent learned generalizable egocentric and allocentric value functions.
  • Additive composition of representations enabled efficient policy learning.
  • The agent adapted quickly to new environments.

Conclusions:

  • Egocentric relational structure is beneficial for navigation.
  • Cognitive maps can be composed from multiple simple maps.
  • This approach offers a new perspective on cognitive map composition.