Perceptual distortions and deceptions: what computers can teach us.
File(s)
Published version
Author(s)
Nour, MM
Nour, JM
Type
Journal Article
Abstract
The nature of perception has fascinated philosophers for centuries, and has more recently been the focus of research in psychology and neuroscience. Many psychiatric disorders are characterised by perceptual abnormalities, ranging from sensory distortions to illusions and hallucinations. The distinction between normal and abnormal perception is, however, hard to articulate. In this article we argue that the distinction between normal perception and abnormal perception is best seen as a quantitative one, resting on the degree to which the observer's prior expectations influence perceptual inference. We illustrate this point with an example taken from researchers at Google working on computer vision.
Date Issued
2017-02-01
Date Acceptance
2016-02-24
Citation
BJPsych Bulletin, 2017, 41 (1), pp.37-40
ISSN
2056-4708
Publisher
Royal College of Psychiatrists: BJPsych Bulletin
Start Page
37
End Page
40
Journal / Book Title
BJPsych Bulletin
Volume
41
Issue
1
Copyright Statement
© 2016 The Authors. This is an open access
article published by the Royal
College of Psychiatrists and distributed
under the terms of the Creative
Commons Attribution License (http://
creativecommons.org/licenses/by/
4.0), which permits unrestricted use,
distribution, and reproduction in any
medium, provided the original work
is properly cited.
article published by the Royal
College of Psychiatrists and distributed
under the terms of the Creative
Commons Attribution License (http://
creativecommons.org/licenses/by/
4.0), which permits unrestricted use,
distribution, and reproduction in any
medium, provided the original work
is properly cited.
Identifier
http://www.ncbi.nlm.nih.gov/pubmed/28184316
Publication Status
Published
Coverage Spatial
England