Department of Neurobiology and Anatomy and Center for Visual Science, University of Rochester, Rochester, NY 14642, USA.
Proc Natl Acad Sci U S A. 2010 Dec 14;107(50):21842-7. doi: 10.1073/pnas.1009956107. Epub 2010 Nov 22.
During motion discrimination tasks, many prefrontal cortex (PFC) neurons are strongly modulated by the behavioral context, suggesting their involvement in sensory discriminations. Recent studies suggest that trial-to-trial variability of spiking activity characteristic of cortical neurons could be a source of information about the state of neurons and their participation in behavioral tasks. We tested this hypothesis by examining the variability of putative pyramidal PFC neurons, a likely source of top-down influences. The variability of these neurons was calculated as a ratio of spike count variance to its mean (fano factor, FF), while monkeys compared the directions of two moving stimuli, sample and test, separated by a delay. We found that the FF tracked consecutive components of the task, dropping rapidly with the onset of stimuli being discriminated and declining more slowly before each salient event of the trial: The sample, the test, and the response. These time-dependent signals were less consistent in direction selective neurons and were largely absent during passive fixation. Furthermore, neurons with test responses that reflected the remembered sample decreased their FF well before the test, revealing the predictive nature of response variability, an effect present only during the active task. The FF was also sensitive to behavioral performance, exhibiting different temporal dynamics on error trials. These changes did not depend on firing rates and were often the only metric correlated with task demands. Our results demonstrate that trial-to-trial variability provides a sensitive measure of the engagement of putative pyramidal PFC neurons in circuits subserving discrimination tasks.
在运动辨别任务中,许多前额叶皮层(PFC)神经元强烈地受到行为背景的调节,表明它们参与了感觉辨别。最近的研究表明,皮质神经元的尖峰活动的trial-to-trial 变异性可能是神经元状态及其参与行为任务的信息来源。我们通过检查可能的金字塔形 PFC 神经元的变异性来检验这个假设,这是自上而下影响的一个可能来源。这些神经元的变异性被计算为尖峰计数方差与其平均值的比率(Fano 因子,FF),而猴子比较两个移动刺激的方向,样本和测试,通过延迟分离。我们发现,FF 跟踪任务的连续成分,随着被区分的刺激的出现迅速下降,并在试验的每个突出事件之前缓慢下降:样本、测试和反应。这些时间相关的信号在方向选择性神经元中不太一致,并且在被动固定期间基本不存在。此外,测试反应反映了被记住的样本的神经元在测试之前就降低了它们的 FF,揭示了反应变异性的预测性质,这种效应仅在主动任务中存在。FF 还对行为表现敏感,在错误试验中表现出不同的时间动态。这些变化不依赖于放电率,并且经常是与任务需求唯一相关的度量标准。我们的结果表明,trial-to-trial 变异性提供了一种敏感的衡量标准,用于测量参与辨别任务的潜在金字塔形 PFC 神经元在电路中的参与程度。