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Related Experiment Video

Updated: Sep 17, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

A foundation model to predict and capture human cognition.

Marcel Binz¹, Elif Akata², Matthias Bethge³

¹Institute for Human-Centered AI, Helmholtz Center, Munich, Germany. marcel.binz@helmholtz-munich.de.

|July 3, 2025

Summary

This summary is machine-generated.

A new computational model, Centaur, can predict and simulate human behavior across diverse experiments. This advance in cognitive modeling shows promise for developing unified theories of cognition.

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Area of Science:

Cognitive Science
Computational Psychology
Artificial Intelligence

Background:

A unified theory of cognition is a long-standing goal in psychology.
Predictive computational models are crucial for advancing cognitive theories.
Existing models have limitations in generalizing across diverse experimental settings.

Purpose of the Study:

To introduce Centaur, a novel computational model designed to predict and simulate human behavior.
To evaluate Centaur's performance against existing cognitive models.
To explore the potential of large-scale language models in cognitive science.

Main Methods:

Fine-tuning a state-of-the-art language model on the Psych-101 dataset.
Psych-101 comprises over 10 million choices from 60,000 participants across 160 experiments.
Evaluating Centaur's predictive accuracy and generalization capabilities.

Main Results:

Centaur outperforms existing cognitive models in predicting held-out participant behavior.
The model demonstrates generalization to novel experimental contexts, task modifications, and domains.
Fine-tuning aligns Centaur's internal representations with human neural activity.

Conclusions:

It is feasible to develop computational models that capture human behavior across a broad range of domains.
Centaur represents a significant step towards unified theories of cognition.
These models offer potential for guiding future cognitive theory development.