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Related Experiment Video

Updated: Feb 3, 2026

Assessment of Stress Effects on Cognitive Flexibility using an Operant Strategy Shifting Paradigm

Assessment of Stress Effects on Cognitive Flexibility using an Operant Strategy Shifting Paradigm

Published on: May 4, 2020

What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior.

Timothy E J Behrens¹, Timothy H Muller², James C R Whittington²

¹Wellcome Centre for Integrative Neuroimaging, Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK; Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3BG.

|October 26, 2018

Summary

This summary is machine-generated.

Cognitive maps support flexible behavior by organizing knowledge. This research suggests map-like representations are general coding mechanisms applicable beyond spatial navigation, unifying diverse cognitive functions.

Keywords:

Cognitive Map Decision Making Generalization Hippocampal Formation Inference Prefrontal Cortex Reinforcement Learning Spatial Cognition Statistical Learning Structure Learning

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Area of Science:

Cognitive Science
Neuroscience
Artificial Intelligence

Background:

Cognitive maps, primarily studied in spatial navigation, are thought to enable flexible behavior.
Recent research indicates neuronal parallels between spatial and non-spatial cognitive functions.
This suggests a systematic organization of knowledge across various domains.

Purpose of the Study:

To review evidence and theoretical frameworks for unifying principles underlying spatial and non-spatial cognitive functions.
To explore how these principles support abstract, generalizable knowledge acquisition and utilization.
To investigate the role of map-like representations as general coding mechanisms in cognition.

Main Methods:

Review of experimental evidence from neuroscience and cognitive psychology.
Analysis of theoretical frameworks in cognitive science and artificial intelligence.
Examination of artificial agent models exhibiting map-like representations and flexible behavior.

Main Results:

Identified unifying principles for learning and using abstract, generalizable knowledge.
Demonstrated that map-like representations in spatial contexts may exemplify broader coding mechanisms.
Showcased artificial agents with these principles exhibiting flexible behavior and learning map-like structures.

Conclusions:

Principles governing cognitive map formation may apply to diverse knowledge domains, not just spatial navigation.
Map-like representations are likely instances of general neural coding mechanisms.
These principles offer insights into human cognition, including generalization, abstraction, and inference.