Prefrontal cortex exhibits multidimensional dynamic encoding during decision-making.

Prefrontal cortex exhibits multidimensional dynamic encoding during decision-making.
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DOI:
10.1038/s41593-020-0696-5
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发表时间:
2020-11
影响因子:
25
通讯作者:
Pillow JW
Pillow JW
中科院分区:
医学1区
文献类型:
--
作者:
Aoi MC;Mante V;Pillow JW

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最近的研究表明,前额叶皮层(PFC)在情境依赖的感知决策中起着关键作用。在这里,我们使用一种新的方法来识别神经种群活动的任务相关维度来解决这个问题。具体来说,我们表明PFC具有上下文、决策以及相关和不相关感官信息的多维代码。此外,这些表征随着时间的推移而演变,早期的线性积累阶段随后是旋转动力学阶段。我们确定了与这些阶段相关的神经活动的维度,并表明它们不是来自不同的种群,而是来自具有广泛调谐特征的单一种群。最后,我们使用基于模型的解码来证明从线性到旋转动力学的转变与解码精度的平台期一致,这表明PFC的旋转动力学在刺激整合期间保持了感觉选择信息。
Recent work has suggested that prefrontal cortex (PFC) plays a key role in context-dependent perceptual decision-making. Here we address that role using a new method for identifying task-relevant dimensions of neural population activity. Specifically, we show that PFC has a multi-dimensional code for context, decisions, and both relevant and irrelevant sensory information. Moreover, these representations evolve in time, with an early linear accumulation phase followed by a phase with rotational dynamics. We identify the dimensions of neural activity associated with these phases, and show that they do not arise from distinct populations, but of a single population with broad tuning characteristics. Finally, we use model-based decoding to show that the transition from linear to rotational dynamics coincides with a plateau in decoding accuracy, revealing that rotational dynamics in PFC preserve sensory choice information for the duration of the stimulus integration period.
神经元建模。在决策过程中,在顶叶皮层中的单次尖峰火车揭示了离散的步骤。
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