Valtcheva Tchoudomira M, Passaglia Christopher L
Department of Chemical and Biomedical Engineering, University of South Florida, Tampa, Florida; and.
Department of Chemical and Biomedical Engineering, University of South Florida, Tampa, Florida; and Department of Ophthalmology, University of South Florida, Tampa, Florida
J Neurophysiol. 2015 Dec;114(6):3234-41. doi: 10.1152/jn.00593.2015. Epub 2015 Oct 7.
Luminance and contrast adaptation are neuronal mechanisms employed by the visual system to adjust our sensitivity to light. They are mediated by an assortment of cellular and network processes distributed across the retina and visual cortex. Both have been demonstrated in the eyes of many vertebrates, but only luminance adaptation has been shown in invertebrate eyes to date. Since the computational benefits of contrast adaptation should apply to all visual systems, we investigated whether this mechanism operates in horseshoe crab eyes, one of the best-understood neural networks in the animal kingdom. The spike trains of optic nerve fibers were recorded in response to light stimuli modulated randomly in time and delivered to single ommatidia or the whole eye. We found that the retina adapts to both the mean luminance and contrast of a white-noise stimulus, that luminance- and contrast-adaptive processes are largely independent, and that they originate within an ommatidium. Network interactions are not involved. A published computer model that simulates existing knowledge of the horseshoe crab eye did not show contrast adaptation, suggesting that a heretofore unknown mechanism may underlie the phenomenon. This mechanism does not appear to reside in photoreceptors because white-noise analysis of electroretinogram recordings did not show contrast adaptation. The likely site of origin is therefore the spike discharge mechanism of optic nerve fibers. The finding of contrast adaption in a retinal network as simple as the horseshoe crab eye underscores the broader importance of this image processing strategy to vision.
亮度适应和对比度适应是视觉系统用来调节我们对光的敏感度的神经机制。它们由分布在视网膜和视觉皮层的各种细胞和网络过程介导。这两种适应机制在许多脊椎动物的眼睛中都得到了证实,但迄今为止,在无脊椎动物的眼睛中仅发现了亮度适应。由于对比度适应的计算优势应该适用于所有视觉系统,我们研究了这种机制是否在鲎眼中起作用,鲎眼是动物界中研究得最透彻的神经网络之一。我们记录了视神经纤维的脉冲序列,这些脉冲序列是对随时间随机调制的光刺激做出的反应,并将这些光刺激施加到单个小眼或整个眼睛上。我们发现,视网膜能适应白噪声刺激的平均亮度和对比度,亮度适应过程和对比度适应过程在很大程度上是独立的,并且它们起源于一个小眼内部。这一过程不涉及网络相互作用。一个模拟鲎眼现有知识的已发表计算机模型并未显示出对比度适应,这表明可能存在一种迄今为止未知的机制作为这一现象的基础。这种机制似乎并不存在于光感受器中,因为对视网膜电图记录进行白噪声分析并未显示出对比度适应。因此,其可能的起源部位是视神经纤维的脉冲发放机制。在像鲎眼这样简单的视网膜网络中发现对比度适应,凸显了这种图像处理策略对视觉更广泛的重要性。