Predicting oculomotor behaviour from correlated populations of posterior parietal neurons

Arnulf B. A. Graf () and Richard A. Andersen
Additional contact information
Arnulf B. A. Graf: California Institute of Technology
Richard A. Andersen: California Institute of Technology

Nature Communications, 2015, vol. 6, issue 1, 1-7

Abstract: Abstract Oculomotor function critically depends on how signals representing saccade direction and eye position are combined across neurons in the lateral intraparietal (LIP) area of the posterior parietal cortex. Here we show that populations of parietal neurons exhibit correlated variability, and that using these interneuronal correlations yields oculomotor predictions that are more accurate and also less uncertain. The structure of LIP population responses is therefore essential for reliable read-out of oculomotor behaviour.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/ncomms7024 Abstract (text/html)

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:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7024

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

DOI: 10.1038/ncomms7024

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

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