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Mistakes were made: Neural mechanisms for the adaptive control of action initiation by the medial prefrontal cortex

机译:错误:神经机制用于前额内侧皮层对动作启动的自适应控制

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摘要

Studies in rats, monkeys and humans have established that the medial prefrontal cortex is crucial for the ability to exert adaptive control over behavior. Here, we review studies on the role of the rat medial prefrontal cortex in adaptive control, with a focus on simple reaction time tasks that can be easily used across species and have clinical relevance. The performance of these tasks is associated with neural activity in the medial prefrontal cortex that reflects stimulus detection, action timing, and outcome monitoring. We describe rhythmic neural activity that occurs when animals initiate a temporally extended action. Such rhythmic activity is coterminous with major changes in population spike activity. Testing animals over a series of sessions with varying pre-stimulus intervals showed that the signals adapt to the current temporal demands of the task. Disruptions of rhythmic neural activity occur on error trials (premature responding) and lead to a persistent encoding of the error and a subsequent change in behavioral performance (i.e. post-error slowing). Analysis of simultaneously recorded spike activity suggests that the presence of strong theta rhythms is coterminous with altered network dynamics, and might serve as a mechanism for adaptive control. Computational modeling suggests that these signals may enable learning from errors. Together, our findings contribute to an emerging literature and provide a new perspective on the neuronal mechanisms for the adaptive control of action.
机译:在大鼠,猴子和人类中进行的研究已确定,内侧前额叶皮层对于对行为施加自适应控制的能力至关重要。在这里,我们审查关于大鼠内侧前额叶皮层在适应性控制中的作用的研究,重点是简单的反应时间任务,这些任务可以很容易地跨物种使用并具有临床意义。这些任务的执行与内侧前额叶皮层中的神经活动有关,神经活动反映了刺激检测,动作时机和结果监测。我们描述了动物启动暂时性扩展动作时发生的节律性神经活动。这种有节奏的活动与人口高峰活动的重大变化是同时发生的。在一系列具有不同刺激前间隔的实验中对动物进行测试,结果表明信号适应了当前任务的时间要求。节律性神经活动的中断发生在错误试验(过早响应)上,并导致错误的持久编码和随后的行为表现变化(即错误后减慢)。对同时记录的尖峰活动的分析表明,强大的θ节律的存在与网络动态变化有关,并且可能充当自适应控制的机制。计算模型表明,这些信号可能使人们能够从错误中学习。在一起,我们的发现有助于新兴的文献,并为神经元机制的行动的自适应控制提供了新的观点。

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