Hoshino Osamu, Zheng Meihong, Watanabe Kazuo
Department of Intelligent Systems Engineering, Ibaraki University, Hitachi, Ibaraki, 316-8511, Japan, and Southern Tohoku Research Institute for Neuroscience, Southern Tohoku General Hospital, Koriyama, Fukushima, 963-8563, Japan
Department of Psychology, Tsinghua University, Haidian District, Beijing, 100084, China
Neural Comput. 2016 Jan;28(1):187-215. doi: 10.1162/NECO_a_00799. Epub 2015 Nov 24.
Variability is a prominent characteristic of cognitive brain function. For instance, different trials of presentation of the same stimulus yield higher variability in its perception: subjects sometimes fail in perceiving the same stimulus. Perceptual variability could be attributable to ongoing-spontaneous fluctuation in neuronal activity prior to sensory stimulation. Simulating a cortical neural network model, we investigated the underlying neuronal mechanism of perceptual variability in relation to variability in ongoing-spontaneous neuronal activity. In the network model, populations of principal cells (cell assemblies) encode information about sensory features. Each cell assembly is sensitive to one particular feature stimulus. Transporters on GABAergic interneurons regulate ambient GABA concentration in a neuronal activity-dependent manner. Ambient GABA molecules activate extrasynaptic GABAa receptors on principal cells and interneurons, and provide them with tonic inhibitory currents. We controlled the variability of ongoing-spontaneous neuronal activity by manipulating the basal level of ambient GABA and assessed the perceptual performance of the network: detection of a feature stimulus. In an erroneous response, stimulus-irrelevant but not stimulus-relevant principal cells were activated, generating trains of action potentials. Perceptual variability, reflected in error rate in detecting the same stimulus that was presented repeatedly to the network, was increased as the variability in ongoing-spontaneous membrane potential among cell assemblies increased. Frequent, transient membrane depolarization below firing threshold was the major cause of the increased neuronal variability, for which a decrease in basal ambient GABA concentration was responsible. We suggest that ambient GABA in the brain may have a role in reducing the variability in ongoing-spontaneous neuronal activity, leading to a decrease in perceptual variability and therefore to reliable sensory perception.
变异性是大脑认知功能的一个显著特征。例如,对同一刺激的不同呈现试验在其感知上会产生更高的变异性:受试者有时无法感知到相同的刺激。感知变异性可能归因于感觉刺激之前神经元活动的持续自发波动。通过模拟皮质神经网络模型,我们研究了与持续自发神经元活动变异性相关的感知变异性的潜在神经元机制。在网络模型中,主细胞群体(细胞集合)编码有关感觉特征的信息。每个细胞集合对一种特定的特征刺激敏感。GABA能中间神经元上的转运体以神经元活动依赖的方式调节周围GABA浓度。周围GABA分子激活主细胞和中间神经元上的突触外GABAA受体,并为它们提供强直抑制电流。我们通过操纵周围GABA的基础水平来控制持续自发神经元活动的变异性,并评估网络的感知性能:特征刺激的检测。在错误反应中,与刺激无关而非与刺激相关的主细胞被激活,产生动作电位序列。随着细胞集合之间持续自发膜电位变异性的增加,反映在对反复呈现给网络的相同刺激的检测错误率中的感知变异性也增加。低于放电阈值的频繁、短暂膜去极化是神经元变异性增加的主要原因,这是由基础周围GABA浓度降低所致。我们认为,大脑中的周围GABA可能在降低持续自发神经元活动的变异性方面发挥作用,从而导致感知变异性降低,进而实现可靠的感觉感知。