The Effects of Population Tuning and Trial-by-Trial Variability on Information Encoding and Behavior
The Effects of Population Tuning and Trial-by-Trial Variability on Information Encoding and Behavior
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DOI：
10.1523/jneurosci.0859-19.2019
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发表时间：
2020-01-29
影响因子：
5.3
通讯作者：
Moreno-Bote, Ruben
中科院分区：
文献类型：
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作者：
Nogueira, Ramon;Peltier, Nicole E.;Moreno-Bote, Ruben
识别与神经元群体编码的信息量相关的群体反应特征是理解群体编码的关键一步。统计特征，例如调整属性、个体和共享响应变异性以及全局活动调节，都可能影响编码的信息量并调节行为表现。我们表明，有两个特征特别影响信息：不同条件下群体响应的调制（群体信号）和沿调制轴的逆群体协变性（投影精度）。我们证明，这两个量的波动与 4 只猴子（1 只雌性和 1 只雄性猕猴；以及 2 只雄性束状猕猴）的各种任务和大脑区域的行为表现波动相关。相比之下，神经元之间的平均相关性和整体活动的波动对编码的信息量和行为表现的影响可以忽略不计或不一致。我们还表明，微分相关性通过降低预测精度来减少有限总体中编码的信息量。我们的结果与模型的预测一致，该模型最佳地解码群体反应以产生行为。
Identifying the features of population responses that are relevant to the amount of information encoded by neuronal populations is a crucial step toward understanding population coding. Statistical features, such as tuning properties, individual and shared response variability, and global activity modulations, could all affect the amount of information encoded and modulate behavioral performance. We show that two features in particular affect information: the modulation of population responses across conditions (population signal) and the inverse population covariability along the modulation axis (projected precision). We demonstrate that fluctuations of these two quantities are correlated with fluctuations of behavioral performance in various tasks and brain regions consistently across 4 monkeys (1 female and 1 male Macaca mulatta; and 2 male Macaca fascicularis). In contrast, fluctuations in mean correlations among neurons and global activity have negligible or inconsistent effects on the amount of information encoded and behavioral performance. We also show that differential correlations reduce the amount of information encoded in finite populations by reducing projected precision. Our results are consistent with predictions of a model that optimally decodes population responses to produce behavior.