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Image statistics and their processing in insect vision
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Physiology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Physiology. Centre for Neuroscience, Flinders University, Adelaide, Australia.ORCID iD: 0000-0002-6020-6348
2017 (English)In: Current Opinion in Insect Science, ISSN 2214-5745, Vol. 24, p. 7-14Article, review/survey (Refereed) Published
Abstract [en]

Natural scenes may appear random, but are not only constrained in space and time, but also show strong spatial and temporal correlations. Spatial constraints and correlations can be described by quantifying image statistics, which include intuitive measures such as contrast, color and luminance, but also parameters that need some type of transformation of the image. In this review we will discuss some common tools used to quantify spatial and temporal parameters of naturalistic visual input, and how these tools have been used to inform us about visual processing in insects. In particular, we will review findings that would not have been possible using conventional, experimenter defined stimuli.

Place, publisher, year, edition, pages
2017. Vol. 24, p. 7-14
National Category
Neurosciences
Research subject
Neurology
Identifiers
URN: urn:nbn:se:uu:diva-329430DOI: 10.1016/j.cois.2017.08.002ISI: 000417020600004OAI: oai:DiVA.org:uu-329430DiVA, id: diva2:1141498
Funder
Swedish Research Council, 2012-4740Stiftelsen Olle Engkvist Byggmästare, 2016/348Available from: 2017-09-15 Created: 2017-09-15 Last updated: 2018-03-12Bibliographically approved

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Dyakova, OlgaNordström, Karin

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