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  1. Home
  3. Efficient Coding In Active Perception: A Developmental Perspective On Autonomous Control.
  1. Home
  3. Efficient Coding In Active Perception: A Developmental Perspective On Autonomous Control.

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Efficient coding in active perception: A developmental perspective on autonomous control.

Francisco M López1, Bertram E Shi2, Jochen Triesch3

  • 1Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany; School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia.

Advances in Child Development and Behavior
|June 7, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Biological systems efficiently code sensory information. Active Efficient Coding (AEC) explains how infants develop perception and action through this principle, forming a tightly coupled loop for learning without supervision.

Keywords:
Efficient coding hypothesisIntrinsic motivationPerception-action loopReinforcement learningSensorimotor development

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Area of Science:

  • Developmental Psychology
  • Computational Neuroscience
  • Information Theory

Background:

  • The efficient coding hypothesis posits that perceptual systems adapt to environmental sensory statistics.
  • Infant perception and action are linked, as infants actively shape sensory input through behavior.
  • Existing models need extension to explain the development of active perception.

Purpose of the Study:

  • To review extensions of efficient coding to active perception.
  • To focus on the Active Efficient Coding (AEC) framework.
  • To provide a unifying computational principle for perception and action development.

Main Methods:

  • Reviewing recent extensions of efficient coding into active perception.
  • Introducing a novel formalism framing AEC within rate-distortion theory.
  • Re-examining AEC models for active binocular vision in simulated infant embodiment.

    • Main Results:

    • Active perception is interpreted as a lossy compression problem within rate-distortion theory.
    • AEC models demonstrate autonomous learning and calibration of active binocular vision.
    • Active perception can emerge without external supervision.

    Conclusions:

    • The Active Efficient Coding (AEC) framework offers a unifying principle for perception and action development.
    • Active perception development is grounded in efficient sensory data compression.
    • This framework provides a foundation for understanding complex behaviors and higher cognition in infants.