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Attention decouples action potentials from the phase of local field potentials in macaque visual cortical area MT

Overview of attention for article published in BMC Biology, August 2018
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Title
Attention decouples action potentials from the phase of local field potentials in macaque visual cortical area MT
Published in
BMC Biology, August 2018
DOI 10.1186/s12915-018-0551-2
Pubmed ID
Authors

Moein Esghaei, Mohammad Reza Daliri, Stefan Treue

Abstract

The timing of action potentials ("spikes") of cortical neurons has been shown to be aligned to the phase of low-frequency (< 10 Hz) local field potentials (LFPs) in several cortical areas. However, across the areas, this alignment varies and the role of this spike-phase coupling (SPC) in cognitive functions is not well understood. Here, we propose a role in the coordination of neural activity by selective attention. After refining previous analytical methods for measuring SPC, we show that first, SPC is present along the dorsal processing pathway in macaque visual cortex (area MT); second, spikes occur in falling phases of the low-frequency LFP independent of the location of spatial attention; third, switching spatial attention into the receptive field (RF) of MT neurons decreases this coupling; and finally, the LFP phase causally influences the spikes. Here, we show that spikes are coupled to the phase of low-frequency LFP along the dorsal visual pathway. Our data suggest that attention harnesses this spike-LFP coupling to de-synchronize neurons and thereby enhance the neural representation of the attended stimuli.

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The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Student > Ph. D. Student 6 14%
Student > Bachelor 5 11%
Researcher 4 9%
Student > Doctoral Student 3 7%
Other 9 20%
Unknown 8 18%
Readers by discipline Count As %
Neuroscience 16 36%
Agricultural and Biological Sciences 6 14%
Psychology 6 14%
Arts and Humanities 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 2 5%
Unknown 10 23%