Unpacking self-ordered sequences

Katherine E Conen; Theresa M Desrochers

doi:10.1016/j.neuron.2022.01.022

Unpacking self-ordered sequences

Neuron. 2022 Feb 16;110(4):566-568. doi: 10.1016/j.neuron.2022.01.022.

Authors

Katherine E Conen¹, Theresa M Desrochers²

Affiliations

¹ Department of Neuroscience, Brown University, Providence, RI 02912, USA.
² Department of Neuroscience, Brown University, Providence, RI 02912, USA; Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA. Electronic address: theresa_desrochers@brown.edu.

PMID: 35176240
DOI: 10.1016/j.neuron.2022.01.022

Abstract

In this issue of Neuron, Chiang et al. examine population coding of self-ordered sequences in prefrontal cortex. They find better decoding, more distributed information, and less variability when order is consistent. Consistent ordering produces reliable population response patterns that may aid planning and memory.

Publication types

Comment

MeSH terms

Neurons* / physiology
Prefrontal Cortex* / physiology

Grants and funding

R21 MH125010/MH/NIMH NIH HHS/United States