Diverse coactive neurons encode stimulus-driven and stimulus-independent variables
Diverse coactive neurons encode stimulus-driven and stimulus-independent variables
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不同的协同神经元编码刺激驱动和刺激无关的变量
DOI：
10.1152/jn.00431.2020
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发表时间：
2020
影响因子：
2.5
通讯作者：
Wessel, Ralf
中科院分区：
文献类型：
--
作者：
Xia, Ji;Marks, Tyler D.;Goard, Michael J.;Wessel, Ralf
实验者控制的刺激和刺激独立变量都影响皮层神经活动。理解神经表征的一个主要障碍是区分种群活动波动的定性不同原因。我们应用无监督低秩张量分解分析，记录了清醒小鼠对自然视觉刺激重复呈现的反应。我们发现神经元在很大程度上独立于单个神经元刺激反应可靠性的共变，从而编码刺激驱动变量和刺激独立变量。重要的是，神经元的反应可靠性和神经元的协同激活模式在不同的外部视觉输入下进行了实质性的重组。对循环平衡神经网络模型的分析表明，聚类的外部输入既可以产生刺激特异性，也可以产生定性不同变量的混合编码。这些结果表明，具有不同反应可靠性的共同活动神经元介导了视觉皮层中刺激驱动变量和刺激独立变量的混合表征。
Both experimenter-controlled stimuli and stimulus-independent variables impact cortical neural activity. A major hurdle to understanding neural representation is distinguishing between qualitatively different causes of the fluctuating population activity. We applied an unsupervised low-rank tensor decomposition analysis to the recorded population activity in the visual cortex of awake mice in response to repeated presentations of naturalistic visual stimuli. We found that neurons covaried largely independently of individual neuron stimulus response reliability and thus encoded both stimulus-driven and stimulus-independent variables. Importantly, a neuron’s response reliability and the neuronal coactivation patterns substantially reorganized for different external visual inputs. Analysis of recurrent balanced neural network models revealed that both the stimulus specificity and the mixed encoding of qualitatively different variables can arise from clustered external inputs. These results establish that coactive neurons with diverse response reliability mediate a mixed representation of stimulus-driven and stimulus-independent variables in the visual cortex.