The Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Department of Psychology and Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA.
Neuron. 2022 Feb 16;110(4):709-721.e4. doi: 10.1016/j.neuron.2021.11.021. Epub 2021 Dec 20.
Neurons in primate lateral prefrontal cortex (LPFC) play a critical role in working memory (WM) and cognitive strategies. Consistent with adaptive coding models, responses of these neurons are not fixed but flexibly adjust on the basis of cognitive demands. However, little is known about how these adjustments affect population codes. Here, we investigated ensemble coding in LPFC while monkeys implemented different strategies in a WM task. Although single neurons were less tuned when monkeys used more stereotyped strategies, task information could still be accurately decoded from neural populations. This was due to changes in population codes that distributed information among a greater number of neurons, each contributing less to the overall population. Moreover, this shift occurred for task-relevant, but not irrelevant, information. These results demonstrate that cognitive strategies that impose structure on information held in mind rearrange population codes in LPFC, such that information becomes more distributed among neurons in an ensemble.
灵长类动物外侧前额叶皮层 (LPFC) 的神经元在工作记忆 (WM) 和认知策略中发挥着关键作用。与适应编码模型一致,这些神经元的反应不是固定的,而是根据认知需求灵活地进行调整。然而,人们对这些调整如何影响群体编码知之甚少。在这里,当猴子在 WM 任务中执行不同策略时,我们研究了 LPFC 的集合编码。尽管当猴子使用更刻板的策略时,单个神经元的调谐性降低,但仍然可以从神经元群体中准确地解码任务信息。这是由于群体编码的变化,即将信息分布在更多的神经元中,每个神经元对总体群体的贡献更小。此外,这种转变仅发生在与任务相关的信息上,而与不相关的信息无关。这些结果表明,在脑海中保持信息的认知策略会对 LPFC 中的群体编码进行重新排列,从而使信息在集合中的神经元之间更加分散。