Unpacking self-ordered sequences.

Unpacking self-ordered sequences.
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解包自排序序列。

DOI:
10.1016/j.neuron.2022.01.022
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发表时间:
2022
期刊:
影响因子:
16.2
通讯作者:
Desrochers,TheresaM
Desrochers,TheresaM
中科院分区:
医学1区
文献类型:
--
作者:
Conen,KatherineE;Desrochers,TheresaM

文献摘要

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在本期的《神经元》杂志上,Chiang等人研究了前额皮质中自序序列的群体编码。当顺序一致时,他们会发现更好的解码、更多的分布式信息和更少的可变性。一致的排序产生可靠的群体响应模式,有助于规划和记忆。
In this issue ofNeuron, 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.