ArticleFrontiers in systems neuroscience2015
Perception and Reality: Why a Wholly Empirical Paradigm is Needed to Understand Vision.
Article in Frontiers in systems neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed.
- Spontaneous perceptual alternations and higher-order cognitive processes: an exploratory study.Cognitive processing · 2025Article
- Computational meaningfulness as the source of beneficial cognitive biases.Frontiers in psychology · 2023Article
- Adjudicating Between Local and Global Architectures of Predictive Processing in the Subcortical Auditory Pathway.Frontiers in neural circuits · 2021Review
- Influences of orientation on the Ponzo, contrast, and Craik-O'Brien-Cornsweet illusions.Attention, perception & psychophysics · 2020Article
- Evaluating the neurophysiological evidence for predictive processing as a model of perception.Annals of the New York Academy of Sciences · 2020Review
- The Consumer Contextual Decision-Making Model.Frontiers in psychology · 2020Article
- Does experience provide a permissive or instructive influence on the development of direction selectivity in visual cortex?Neural development · 2018Review
- Pre-cueing, Perceptual Learning and Cognitive Penetration.Frontiers in psychology · 2017Article
- On the Character of Consciousness.Frontiers in systems neuroscience · 2016Article
- The Predictive Processing Paradigm Has Roots in Kant.Frontiers in systems neuroscience · 2016Article
- Commentary: Perception and Reality: Why a Wholly Empirical Paradigm is Needed to Understand Vision.Frontiers in systems neuroscience · 2016Article
- Absolute Depth Sensitivity in Cat Primary Visual Cortex under Natural Viewing Conditions.Frontiers in systems neuroscience · 2016Article
- Learning What to See in a Changing World.Frontiers in human neuroscience · 2016Article
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3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A central puzzle in vision science is how perceptions that are routinely at odds with physical measurements of real world properties can arise from neural responses that nonetheless lead to effective behaviors. Here we argue that the solution depends on: (1) rejecting the assumption that the goal of vision is to recover, however imperfectly, properties of the world; and (2) replacing it with a paradigm in which perceptions reflect biological utility based on past experience rather than objective features of the environment. Present evidence is consistent with the conclusion that conceiving vision in wholly empirical terms provides a plausible way to understand what we see and why.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.