瞳孔大小可以预测大脑和行为探索的开始。

Akram Shourkeshti, Mojtaba Abbaszadeh, Gabriel Marrocco, Katarzyna Jurewicz, Tirin Moore, R Becket Ebitz
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引用次数: 0

摘要

在不确定的环境中,聪明的决策者会利用过去有回报的行动,但也会探索可能更好的行动。探索涉及几个神经调节系统,部分基于将探索与瞳孔大小联系起来的工作——瞳孔大小是神经调节音调和唤醒指数的外围相关性。然而,瞳孔大小可以跟踪使探索更有可能的变量,如波动性或奖励,而无需直接预测探索或其神经基础。在这里,当两只恒河猴在动态环境中探索和利用时,我们同时测量了前额叶皮层的瞳孔大小、探索和神经群体活动。我们发现,在恒定亮度下,瞳孔大小可以特别预测探索的开始,这超出了奖励历史的解释范围。瞳孔大小也预测了单个神经元和群体水平上前额叶神经活动的无序模式,即使在剥削时期也是如此。最终,我们的研究结果支持了一个模型,在该模型中,与瞳孔相关的机制通过驱动前额叶皮层通过一个关键的临界点来促进探索的开始,在这个临界点上,前额叶控制动力学变得无序,探索性决策是可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Pupil size predicts the onset of exploration and changes in prefrontal dynamics.

Pupil size predicts the onset of exploration and changes in prefrontal dynamics.

Pupil size predicts the onset of exploration and changes in prefrontal dynamics.

Pupil size predicts the onset of exploration and changes in prefrontal dynamics.

In uncertain environments, intelligent decision-makers exploit actions that have been rewarding in the past, but also explore actions that could be even better. Several neuromodulatory systems are implicated in exploration, based, in part, on work linking exploration to pupil size-a peripheral correlate of neuromodulatory tone and index of arousal. However, pupil size could instead track variables that make exploration more likely, like volatility or reward, without directly predicting either exploration or its neural bases. Here, we simultaneously measured pupil size, exploration, and neural population activity in the prefrontal cortex while two rhesus macaques explored and exploited in a dynamic environment. We found that pupil size under constant luminance specifically predicted the onset of exploration, the first exploratory trial in a sequence, beyond what could be explained by reward history. Pupil size also predicted disorganized patterns of prefrontal neural activity at both the single neuron and population levels, even within periods of exploitation. Ultimately, our results support a model in which pupil-linked mechanisms promote the onset of exploration via driving the prefrontal cortex through a critical tipping point where prefrontal control dynamics become disorganized and exploratory decisions are possible.

Significance statement: Humans and other animals learn about the world through exploration: through making decisions that offer the opportunity to learn and discover, even when these decisions are not the best option in the moment. Neuroscience research has historically focused on understanding good choices, delivering many key insights into the neural mechanisms involved in these calculations. However, much less is known about how the brain generates exploratory decisions. This study identifies certain "early warning signs" of exploratory decisions in the brain and body, including certain signals in size of the pupil and the speed of neural activity in the prefrontal cortex. These early warning signs suggest that exploration may be the result of a critical tipping point in prefrontal brain states.

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