# Qualia as query act, the phenomenology of predictive error coding

**Authors:** Herbert W. Harris

PMC · DOI: 10.3389/fpsyg.2025.1531269 · 2025-04-03

## TL;DR

This paper proposes that subjective experiences, or qualia, can be understood as dynamic processes in the brain's predictive error coding system, bridging philosophy and neuroscience.

## Contribution

Introduces 'query acts' to link phenomenological intentionality with predictive error coding in neuroscience.

## Key findings

- Qualia are redefined as dynamic processes from query acts, not static entities.
- Structural parallels exist between noetic processes and predictive error coding.
- Query acts have implications for AI and psychiatric interventions.

## Abstract

This paper explores the intersection of phenomenology and neuroscience to address foundational questions about consciousness, particularly the nature of qualia—subjective, ineffable contents of experience. Drawing on Thomas Nagel’s seminal inquiry into subjective experience and Husserlian phenomenology, we propose that phenomenological “What is it like?” questions can be integrated with neuroscientific models through predictive error coding (PEC). PEC reconceptualizes the brain as an active inference system, continuously generating and updating predictions about sensory inputs. We introduce the concept of “query acts” to describe the brain’s interrogative engagement with sensory information, linking intentionality in phenomenology with predictive mechanisms in neuroscience. By framing qualia as dynamic processes arising from query acts rather than static entities, we bridge the explanatory gap between subjective experience and objective inquiry. This interdisciplinary framework highlights structural parallels between noetic processes in phenomenology and PEC in neuroscience, providing a novel perspective on the emergence of conscious experience. Additionally, we explore the implications of query acts for clinical interventions in psychiatric disorders and the development of context-sensitive artificial intelligence systems. This synthesis fosters deeper integration of philosophical and scientific approaches to understanding the nature of consciousness.

## Full-text entities

- **Diseases:** psychiatric disorders (MESH:D001523)

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12004280/full.md

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Source: https://tomesphere.com/paper/PMC12004280