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A Visual Pathway Links Brain Structures Active during Magnetic Compass Orientation in Migratory Birds

Overview of attention for article published in PLOS ONE, September 2007
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Citations

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Title
A Visual Pathway Links Brain Structures Active during Magnetic Compass Orientation in Migratory Birds
Published in
PLOS ONE, September 2007
DOI 10.1371/journal.pone.0000937
Pubmed ID
Authors

Dominik Heyers, Martina Manns, Harald Luksch, Onur Güntürkün, Henrik Mouritsen

Abstract

The magnetic compass of migratory birds has been suggested to be light-dependent. Retinal cryptochrome-expressing neurons and a forebrain region, "Cluster N", show high neuronal activity when night-migratory songbirds perform magnetic compass orientation. By combining neuronal tracing with behavioral experiments leading to sensory-driven gene expression of the neuronal activity marker ZENK during magnetic compass orientation, we demonstrate a functional neuronal connection between the retinal neurons and Cluster N via the visual thalamus. Thus, the two areas of the central nervous system being most active during magnetic compass orientation are part of an ascending visual processing stream, the thalamofugal pathway. Furthermore, Cluster N seems to be a specialized part of the visual wulst. These findings strongly support the hypothesis that migratory birds use their visual system to perceive the reference compass direction of the geomagnetic field and that migratory birds "see" the reference compass direction provided by the geomagnetic field.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Sweden 3 1%
France 2 <1%
Canada 2 <1%
Germany 2 <1%
Chile 1 <1%
Netherlands 1 <1%
Portugal 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 195 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 20%
Researcher 37 17%
Student > Master 37 17%
Student > Bachelor 22 10%
Student > Doctoral Student 10 5%
Other 40 19%
Unknown 24 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 99 46%
Neuroscience 20 9%
Chemistry 11 5%
Environmental Science 9 4%
Psychology 8 4%
Other 33 15%
Unknown 33 15%