Thalamic control of sensory selection in divided attention

Ralf D. Wimmer, L. Ian Schmitt, Thomas J. Davidson, Miho Nakajima, Karl Deisseroth and Michael M. Halassa ()
Additional contact information
Ralf D. Wimmer: New York University Neuroscience Institute, New York University Langone Medical Center
L. Ian Schmitt: New York University Neuroscience Institute, New York University Langone Medical Center
Thomas J. Davidson: Stanford University
Miho Nakajima: New York University Neuroscience Institute, New York University Langone Medical Center
Karl Deisseroth: Stanford University
Michael M. Halassa: New York University Neuroscience Institute, New York University Langone Medical Center

Nature, 2015, vol. 526, issue 7575, 705-709

Abstract: The authors trained mice to attend to or suppress vision based on behavioral context and show, through novel and established techniques, that changes in visual gain rely on tunable feedforward inhibition of visual thalamus via innervating thalamic reticular neurons; these findings introduce a subcortical model of attention in which modality-specific thalamic reticular subnetworks mediate top-down and context-dependent control of sensory selection.

Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
https://www.nature.com/articles/nature15398 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:526:y:2015:i:7575:d:10.1038_nature15398

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/nature15398

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().