Sensory Horizons and the Functions of Conscious Vision

It is not obvious why we are conscious. Why can't all of our mental activities take place unconsciously? What is consciousness for? We aim to make progress on this question, focusing on conscious vision. We review evidence on the timescale of visual consciousness, showing that it is surprisingly slow: postdictive effects reveal windows of unconscious integration lasting up to 400 milliseconds. We argue that if consciousness is slow, it cannot be for online action-guidance. Instead, we propose that conscious vision evolved to support offline cognition, in tandem with the larger visual sensory horizons afforded by the water-to-land transition. Smaller visual horizons typical in aquatic environments require fast, reflexive actions of the sort that are guided unconsciously in humans. Conversely, larger terrestrial visual horizons allow benefits to accrue from "model-based" planning of the sort that is associated with consciousness in humans. We further propose that the acquisition of these capacities for internal simulation and planning provided pressures for the evolution of reality monitoring-the capacity to distinguish between internally and externally triggered signals, and to solve "Hamlet's problem" in perception-the problem of when to stop integrating evidence, and fix a particular model of reality. In line with higher-order theories of consciousness, we associate the emergence of consciousness with the emergence of this reality monitoring function. We discuss novel empirical predictions that arise from this account, and explore its implications for the distribution of conscious (vs. unconscious) vision in aquatic and terrestrial animals.

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Publication Details

Journal
Behavioral and Brain Sciences
Published
2025-04-21
DOI
https://doi.org/10.1017/s0140525x25000068
Citations
10
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
14.31
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article

Sensory Horizons and the Functions of Conscious Vision

Matthias Michel, Stephen M. Fleming
10 citations
Behavioral and Brain Sciences
Neural dynamics and brain function
14.31
article

Sensory Horizons and the Functions of Conscious Vision

Matthias Michel, Stephen M. Fleming
article en
10 citations

Abstract

It is not obvious why we are conscious. Why can't all of our mental activities take place unconsciously? What is consciousness for? We aim to make progress on this question, focusing on conscious vision. We review evidence on the timescale of visual consciousness, showing that it is surprisingly slow: postdictive effects reveal windows of unconscious integration lasting up to 400 milliseconds. We argue that if consciousness is slow, it cannot be for online action-guidance. Instead, we propose that conscious vision evolved to support offline cognition, in tandem with the larger visual sensory horizons afforded by the water-to-land transition. Smaller visual horizons typical in aquatic environments require fast, reflexive actions of the sort that are guided unconsciously in humans. Conversely, larger terrestrial visual horizons allow benefits to accrue from "model-based" planning of the sort that is associated with consciousness in humans. We further propose that the acquisition of these capacities for internal simulation and planning provided pressures for the evolution of reality monitoring-the capacity to distinguish between internally and externally triggered signals, and to solve "Hamlet's problem" in perception-the problem of when to stop integrating evidence, and fix a particular model of reality. In line with higher-order theories of consciousness, we associate the emergence of consciousness with the emergence of this reality monitoring function. We discuss novel empirical predictions that arise from this account, and explore its implications for the distribution of conscious (vs. unconscious) vision in aquatic and terrestrial animals.

Behavioral and Brain Sciences
Canadian Institute for Advanced Research (CA), IIT@MIT (US), Max Planck Institute for Biology of Ageing (DE), University College London (GB)
Openalex Percentile: Top 1%
Neural dynamics and brain function
14.31
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