uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
A higher order visual neuron tuned to the spatial amplitude spectra of natural scenes
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.
Show others and affiliations
2015 (English)In: Nature Communications, ISSN 2041-1723, E-ISSN 2041-1723, Vol. 6, 8522Article in journal (Refereed) Published
Abstract [en]

Animal sensory systems are optimally adapted to those features typically encountered in natural surrounds, thus allowing neurons with limited bandwidth to encode challengingly large input ranges. Natural scenes are not random, and peripheral visual systems in vertebrates and insects have evolved to respond efficiently to their typical spatial statistics. The mammalian visual cortex is also tuned to natural spatial statistics, but less is known about coding in higher order neurons in insects. To redress this we here record intracellularly from a higher order visual neuron in the hoverfly. We show that the cSIFE neuron, which is inhibited by stationary images, is maximally inhibited when the slope constant of the amplitude spectrum is close to the mean in natural scenes. The behavioural optomotor response is also strongest to images with naturalistic image statistics. Our results thus reveal a close coupling between the inherent statistics of natural scenes and higher order visual processing in insects.

Place, publisher, year, edition, pages
2015. Vol. 6, 8522
National Category
URN: urn:nbn:se:uu:diva-264173DOI: 10.1038/ncomms9522ISI: 000364930800007PubMedID: 26439748OAI: oai:DiVA.org:uu-264173DiVA: diva2:859323
Swedish Research Council, 2012-4740

Supplementary information available for this article at http://www.nature.com/ncomms/2015/151006/ncomms9522/suppinfo/ncomms9522_S1.html

Available from: 2015-10-06 Created: 2015-10-06 Last updated: 2015-12-19Bibliographically approved

Open Access in DiVA

fulltext(1080 kB)65 downloads
File information
File name FULLTEXT01.pdfFile size 1080 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Dyakova, OlgaNordström, Karin
By organisation
PhysiologyDepartment of Neuroscience
In the same journal
Nature Communications

Search outside of DiVA

GoogleGoogle Scholar
Total: 65 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 286 hits
ReferencesLink to record
Permanent link

Direct link