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Related Experiment Video

Updated: May 11, 2026

Online Repetitive Transcranial Magnetic Stimulation of Dorsomedial and Dorsolateral Prefrontal Cortex in Cognition Decision Making, and Cognitive Dissonance

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Distinguishing theory from implementation in predictive coding accounts of brain function.

Michael W Spratling¹

¹Department of Informatics, King's College London, University of London, London WC2R 2LS, United Kingdom. michael.spratling@kcl.ac.uk

The Behavioral and Brain Sciences

|May 14, 2013

Summary

This summary is machine-generated.

The study distinguishes between predictive coding theory and its specific implementations. It argues that presenting one implementation as the entire theory overlooks other neurobiological explanations.

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Area of Science:

Neuroscience
Computational Theory

Background:

Distinguishing between computational theory and physical implementation is crucial in scientific understanding.
Predictive coding is a prominent theory in neuroscience, but its various implementations require careful differentiation.

Purpose of the Study:

To differentiate between the general theory of predictive coding and its specific implementations.
To highlight that the target article presents a single implementation as the overarching theory.
To introduce the existence of alternative implementations capable of explaining broader neurobiological phenomena.

Main Methods:

Conceptual analysis of scientific theory and implementation.
Comparative review of different predictive coding models.

Main Results:

The target article conflates a specific implementation of predictive coding with the theory itself.
Alternative implementations of predictive coding exist that account for additional neurobiological data.

Conclusions:

A clear distinction between predictive coding theory and its implementations is necessary for accurate scientific discourse.
Further research should explore the diverse implementations of predictive coding to advance neurobiological understanding.