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Consciousness, Free Energy and Cognitive Algorithms.

Front Psychol July 30, 2020 DOI: 10.3389/fpsyg.2020.01675 (opens in new tab) via PubMed Central

Summary

AI-generated from the abstract

This theoretical paper argues that consciousness can be understood through the lens of the free energy principle and cognitive algorithms. The authors propose that conscious states emerge from the brain's optimization of free energy, linking neural dynamics to subjective experience. They contend that cognitive algorithms, as formalized processes of inference and learning, provide a framework for modeling how the brain generates predictions and minimizes surprise. The work synthesizes concepts from neuroscience, philosophy, and computational theory to advance a unified account of consciousness grounded in predictive processing.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Key finding Proposes that consciousness arises from the brain's free energy minimization and can be modeled via cognitive algorithms.

Abstract

Consciousness, Free Energy and Cognitive Algorithms.

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