Department of Physiology of Cognitive Processes, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany.
PLoS One. 2013;8(1):e53833. doi: 10.1371/journal.pone.0053833. Epub 2013 Jan 17.
The neural correlates of conscious visual perception are commonly studied in paradigms of perceptual multistability that allow multiple perceptual interpretations during unchanged sensory stimulation. What is the source of this multistability in the content of perception? From a theoretical perspective, a fine balance between deterministic and stochastic forces has been suggested to underlie the spontaneous, intrinsically driven perceptual transitions observed during multistable perception. Deterministic forces are represented by adaptation of feature-selective neuronal populations encoding the competing percepts while stochastic forces are modeled as noise-driven processes. Here, we used a unified neuronal competition model to study the dynamics of adaptation and noise processes in binocular flash suppression (BFS), a form of externally induced perceptual suppression, and compare it with the dynamics of intrinsically driven alternations in binocular rivalry (BR). For the first time, we use electrophysiological, biologically relevant data to constrain a model of perceptual rivalry. Specifically, we show that the mean population discharge pattern of a perceptually modulated neuronal population detected in electrophysiological recordings in the lateral prefrontal cortex (LPFC) during BFS, constrains the dynamical range of externally induced perceptual transitions to a region around the bifurcation separating a noise-driven attractor regime from an adaptation-driven oscillatory regime. Most interestingly, the dynamical range of intrinsically driven perceptual transitions during BR is located in the noise-driven attractor regime, where it overlaps with BFS. Our results suggest that the neurodynamical mechanisms of externally induced and spontaneously generated perceptual alternations overlap in a narrow, noise-driven region just before a bifurcation where the system becomes adaptation-driven.
意识视觉感知的神经相关性通常在知觉多稳定性范式中进行研究,该范式允许在不变的感觉刺激期间进行多种知觉解释。知觉多稳定性的来源是什么?从理论角度来看,有人提出,在多稳定性知觉中观察到的自发、内在驱动的知觉转变的背后,存在着确定性和随机性力量之间的精细平衡。确定性力量由编码竞争感知的特征选择性神经元群体的适应来表示,而随机性力量则被建模为噪声驱动的过程。在这里,我们使用统一的神经元竞争模型来研究双眼闪光抑制(BFS)中的适应和噪声过程的动力学,这是一种外部诱导的知觉抑制形式,并将其与双眼竞争(BR)中的内在驱动交替的动力学进行比较。我们首次使用电生理、生物学相关数据来约束竞争模型。具体来说,我们表明,在外侧前额叶皮层(LPFC)的电生理记录中检测到的知觉调制神经元群体的平均群体放电模式,将外部诱导的知觉转变的动态范围限制在一个分离噪声驱动吸引子状态和适应驱动振荡状态的分岔点附近的区域。最有趣的是,BR 期间内在驱动的知觉转变的动态范围位于噪声驱动的吸引子状态,其中与 BFS 重叠。我们的结果表明,外部诱导和自发产生的知觉交替的神经动力学机制在分岔点之前的一个狭窄的、噪声驱动的区域中重叠,在分岔点处,系统变得由适应驱动。