Citation

Arandia-Romero I, Nogueira R, Mochol G, Moreno-Bote R. Curr. Opin. Neurobiol. 2017; 46: 48-57.

Affiliation

Center for Brain and Cognition & Department of Information and Communications Technologies, University Pompeu Fabra, 08018 Barcelona, Spain; Serra Húnter Fellow Programme, 08018 Barcelona, Spain. Electronic address: ruben.moreno@upf.edu.

Copyright

(Copyright © 2017, Elsevier Publishing)

DOI

10.1016/j.conb.2017.07.008

PMID

28806694

Abstract

Nowadays, it is possible to record the activity of hundreds of cells at the same time in behaving animals. However, these data are often treated and analyzed as if they consisted of many independently recorded neurons. How can neuronal populations be uniquely used to learn about cognition? We describe recent work that shows that populations of simultaneously recorded neurons are fundamental to understand the basis of decision-making, including processes such as ongoing deliberations and decision confidence, which generally fall outside the reach of single-cell analysis. Thus, neuronal population data allow addressing novel questions, but they also come with so far unsolved challenges.

Copyright © 2017 Elsevier Ltd. All rights reserved.

Language: en