Neural constraints on learning

Patrick T. Sadtler, Kristin M. Quick, Matthew D. Golub, Steven M. Chase, Stephen I. Ryu, Elizabeth C. Tyler-Kabara, Byron M. Yu () and Aaron P. Batista ()
Additional contact information
Patrick T. Sadtler: University of Pittsburgh
Kristin M. Quick: University of Pittsburgh
Matthew D. Golub: Center for the Neural Basis of Cognition
Steven M. Chase: Center for the Neural Basis of Cognition
Stephen I. Ryu: Stanford University
Elizabeth C. Tyler-Kabara: University of Pittsburgh
Byron M. Yu: Center for the Neural Basis of Cognition
Aaron P. Batista: University of Pittsburgh

Nature, 2014, vol. 512, issue 7515, 423-426

Abstract: During learning, the new patterns of neural population activity that develop are constrained by the existing network structure so that certain patterns can be generated more readily than others.

Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
https://www.nature.com/articles/nature13665 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:512:y:2014:i:7515:d:10.1038_nature13665

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

DOI: 10.1038/nature13665

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 ().