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.
Original language | English (US) |
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Article number | 156 |
Journal | Frontiers in Systems Neuroscience |
Volume | 9 |
Issue number | November |
DOIs | |
State | Published - Nov 18 2015 |
Bibliographical note
Publisher Copyright:Copyright © 2015 Purves, Morgenstern and Wojtach.
Keywords
- Bayesian probability
- Efficient coding
- Empirical ranking
- Feature detection
- Vision
- Visual perception