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Related Concept Videos

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Updated: Jun 29, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Neural representation in active inference: Using generative models to interact with-and understand-the lived world.

Giovanni Pezzulo1, Leo D'Amato1,2, Francesco Mannella1

  • 1Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.

Annals of the New York Academy of Sciences
|March 26, 2024
PubMed
Summary
This summary is machine-generated.

Living organisms use generative models within active inference to minimize prediction errors, enabling adaptive navigation rather than just understanding. This framework links generative models to neural representation and cognitive evolution.

Keywords:
action‐oriented modelsactive inferenceexplicit modelsgenerative modelneural representationpredictive coding

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Biology

Background:

  • Active inference provides a normative framework for brain function.
  • Organisms utilize generative models to minimize prediction errors, quantified by variational free energy.
  • Generative models are crucial for adaptive behavior and understanding the world.

Purpose of the Study:

  • To explore neural representation through the lens of active inference.
  • To analyze the role of generative models in adaptive navigation and cognitive processes.
  • To elucidate the link between generative models, belief dynamics, and neural representation.

Main Methods:

  • Conceptual analysis of active inference and generative models.
  • Examination of variational free energy minimization in biological systems.
  • Exploration of different types of generative models (action-perception, planning, imagination).

Main Results:

  • Generative models are learned for adaptive navigation, not solely for understanding.
  • Diverse generative models support various cognitive functions, from action-perception to planning.
  • Generative models and belief dynamics are linked to neural representation and cognitive capabilities.

Conclusions:

  • Generative models play diverse roles in cognition and the evolution of neural representation.
  • The type of generative model influences an agent's cognitive abilities within its ecological niche.
  • Open questions remain regarding the evolution of generative models and advanced cognition.