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次级运动皮层中自我发起动作的神经前因。

Neural antecedents of self-initiated actions in secondary motor cortex.

机构信息

Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal.

出版信息

Nat Neurosci. 2014 Nov;17(11):1574-82. doi: 10.1038/nn.3826. Epub 2014 Sep 28.

Abstract

The neural origins of spontaneous or self-initiated actions are not well understood and their interpretation is controversial. To address these issues, we used a task in which rats decide when to abort waiting for a delayed tone. We recorded neurons in the secondary motor cortex (M2) and interpreted our findings in light of an integration-to-bound decision model. A first population of M2 neurons ramped to a constant threshold at rates proportional to waiting time, strongly resembling integrator output. A second population, which we propose provide input to the integrator, fired in sequences and showed trial-to-trial rate fluctuations correlated with waiting times. An integration model fit to these data also quantitatively predicted the observed inter-neuronal correlations. Together, these results reinforce the generality of the integration-to-bound model of decision-making. These models identify the initial intention to act as the moment of threshold crossing while explaining how antecedent subthreshold neural activity can influence an action without implying a decision.

摘要

自发性或自我启动动作的神经起源尚不清楚,其解释存在争议。为了解决这些问题,我们使用了一项任务,让大鼠决定何时放弃等待延迟的音调。我们记录了次级运动皮层(M2)中的神经元,并根据整合到边界的决策模型解释了我们的发现。第一群 M2 神经元以与等待时间成比例的速率向恒定阈值增加,强烈类似于积分器输出。第二群神经元,我们提出为积分器提供输入,以序列方式发射,并显示出与等待时间相关的试验到试验的速率波动。拟合这些数据的积分模型也定量预测了观察到的神经元间相关性。这些结果共同强化了决策的整合到边界模型的普遍性。这些模型将行动的初始意图确定为阈值穿越的时刻,同时解释了如何在不暗示决策的情况下,先前的亚阈值神经活动如何影响行动。

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