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The Second Spiking Threshold: Dynamics of Laminar Network Spiking in the Visual Cortex

机译:第二个峰值阈值:视觉皮质中层流网络峰值的动力学

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摘要

Most neurons have a threshold separating the silent non-spiking state and the state of producing temporal sequences of spikes. But neurons in vivo also have a second threshold, found recently in granular layer neurons of the primary visual cortex, separating spontaneous ongoing spiking from visually evoked spiking driven by sharp transients. Here we examine whether this second threshold exists outside the granular layer and examine details of transitions between spiking states in ferrets exposed to moving objects. We found the second threshold, separating spiking states evoked by stationary and moving visual stimuli from the spontaneous ongoing spiking state, in all layers and zones of areas 17 and 18 indicating that the second threshold is a property of the network. Spontaneous and evoked spiking, thus can easily be distinguished. In addition, the trajectories of spontaneous ongoing states were slow, frequently changing direction. In single trials, sharp as well as smooth and slow transients transform the trajectories to be outward directed, fast and crossing the threshold to become evoked. Although the speeds of the evolution of the evoked states differ, the same domain of the state space is explored indicating uniformity of the evoked states. All evoked states return to the spontaneous evoked spiking state as in a typical mono-stable dynamical system. In single trials, neither the original spiking rates, nor the temporal evolution in state space could distinguish simple visual scenes.
机译:大多数神经元都有一个阈值,用于将无声的非尖峰状态和产生尖峰的时间序列的状态分开。但是体内的神经元也有第二个阈值,最近在初级视觉皮层的颗粒层神经元中发现,将自发进行中的尖峰与由尖锐的瞬变驱动的视觉诱发的尖峰区分开。在这里,我们检查第二阈值是否存在于颗粒层之外,并检查暴露于运动物体的雪貂尖峰状态之间的过渡细节。我们发现第二阈值,在区域17和18的所有层和区域中,将静止和移动的视觉刺激引起的峰值状态与自发的持续峰值状态分开,表明第二阈值是网络的属性。自发的和诱发的尖峰,因此可以轻松地区分。此外,自发进行状态的轨迹很慢,方向经常变化。在单次试验中,尖锐的,平滑的和缓慢的瞬变将轨迹转变为向外指向,快速并超过阈值而被诱发。尽管诱发状态的演化速度不同,但仍在探索状态空间的同一域,以指示诱发状态的均匀性。与典型的单稳态动力学系统一样,所有诱发状态都返回自发诱发峰值状态。在单项试验中,原始的峰值频率和状态空间的时间演化都无法区分简单的视觉场景。

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