Neuroscience Graduate Program, University of Rochester, Rochester, NY 14627.
Department of Neurosurgery, Baylor College of Medicine, Houston, TX 77030.
Proc Natl Acad Sci U S A. 2024 Aug 27;121(35):e2318841121. doi: 10.1073/pnas.2318841121. Epub 2024 Aug 22.
Visual cortical neurons show variability in their responses to repeated presentations of a stimulus and a portion of this variability is shared across neurons. Attention may enhance visual perception by reducing shared spiking variability. However, shared variability and its attentional modulation are not consistent within or across cortical areas, and depend on additional factors such as neuronal type. A critical factor that has not been tested is actual anatomical connectivity. We measured spike count correlations among pairs of simultaneously recorded neurons in the primary visual cortex (V1) for which anatomical connectivity was inferred from spiking cross-correlations. Neurons were recorded in monkeys performing a contrast-change discrimination task requiring covert shifts in visual spatial attention. Accordingly, spike count correlations were compared across trials in which attention was directed toward or away from the visual stimulus overlapping recorded neuronal receptive fields. Consistent with prior findings, attention did not significantly alter spike count correlations among random pairings of unconnected V1 neurons. However, V1 neurons connected via excitatory synapses showed a significant reduction in spike count correlations with attention. Interestingly, V1 neurons connected via inhibitory synapses demonstrated high spike count correlations overall that were not modulated by attention. Correlated variability in excitatory circuits also depended upon neuronal tuning for contrast, the task-relevant stimulus feature. These results indicate that shared variability depends on the type of connectivity in neuronal circuits. Also, attention significantly reduces shared variability in excitatory circuits, even when attention effects on randomly sampled neurons within the same area are weak.
视觉皮层神经元在对刺激的重复呈现的反应中表现出可变性,并且这种可变性的一部分在神经元之间是共享的。注意力可以通过减少共享的尖峰变异性来增强视觉感知。然而,共享的变异性及其注意力调制在皮层区域内或跨区域内并不一致,并且取决于其他因素,例如神经元类型。一个尚未经过测试的关键因素是实际的解剖连通性。我们测量了同时记录的初级视觉皮层 (V1) 中对神经元对之间的尖峰计数相关性,这些神经元的解剖连通性是从尖峰互相关中推断出来的。在要求视觉空间注意力进行隐蔽转移的猴子中记录了神经元。因此,在注意力指向或远离与记录神经元感受野重叠的视觉刺激的试验中,比较了尖峰计数相关性。与先前的发现一致,注意力并没有显著改变未连接的 V1 神经元之间随机配对的尖峰计数相关性。然而,通过兴奋性突触连接的 V1 神经元在注意力作用下显示出尖峰计数相关性显著降低。有趣的是,通过抑制性突触连接的 V1 神经元总体上表现出高尖峰计数相关性,而不受注意力的调节。兴奋性回路中的相关变异性也取决于神经元对对比度的调谐,这是与任务相关的刺激特征。这些结果表明,共享变异性取决于神经元回路的连接类型。此外,即使注意力对同一区域内随机采样神经元的影响较弱,注意力也会显著降低兴奋性回路中的共享变异性。