Highly selective receptive fields in mouse visual cortex.

Highly selective receptive fields in mouse visual cortex.
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小鼠视觉皮层中高度选择性的接受场。

DOI:
10.1523/jneurosci.0623-08.2008
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发表时间:
2008-07-23
期刊:
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子:
--
通讯作者:
Stryker MP
Stryker MP
中科院分区:
其他
文献类型:
--
作者:
Niell CM;Stryker MP

文献摘要

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在小鼠身上可用的遗传方法很可能是解剖大脑皮层回路的有力工具。然而,在其他物种中,感觉编码在视觉皮质中得到了最彻底的研究,但在小鼠中,视觉皮质基本上被忽视了,这可能是因为它们的空间敏锐度较差,并且缺乏柱状组织,如方位图。我们现在已经应用定量方法,通过用硅电极阵列在麻醉小鼠中进行细胞外记录,来表征小鼠初级视觉皮质V1的视觉感受野。我们使用电流源密度分析来确定层流位置,并使用尖峰波形来区分假定的兴奋性和抑制性单位。我们发现,尽管小鼠感受野的空间尺度大了一到两个数量级,但神经元对刺激参数如方位和空间频率的选择性接近于其他物种。此外,典型的反应特性,如线性和非线性空间总和(即简单和复杂细胞)和对比度不变调谐也存在于小鼠V1中,并与层流位置和细胞类型相关。有趣的是,我们发现假定的抑制性神经元通常具有较少的选择性和非线性反应。这种对感受野特性的定量描述应该有助于使用小鼠视觉皮质作为一个系统来解决视觉神经科学和皮质处理的长期问题。
Genetic methods available in mice are likely to be powerful tools in dissecting cortical circuits. However, the visual cortex, in which sensory coding has been most thoroughly studied in other species, has essentially been neglected in mice perhaps because of their poor spatial acuity and the lack of columnar organization such as orientation maps. We have now applied quantitative methods to characterize visual receptive fields in mouse primary visual cortex V1 by making extracellular recordings with silicon electrode arrays in anesthetized mice. We used current source density analysis to determine laminar location and spike waveforms to discriminate putative excitatory and inhibitory units. We find that, although the spatial scale of mouse receptive fields is up to one or two orders of magnitude larger, neurons show selectivity for stimulus parameters such as orientation and spatial frequency that is near to that found in other species. Furthermore, typical response properties such as linear versus nonlinear spatial summation (i.e., simple and complex cells) and contrast-invariant tuning are also present in mouse V1 and correlate with laminar position and cell type. Interestingly, we find that putative inhibitory neurons generally have less selective, and nonlinear, responses. This quantitative description of receptive field properties should facilitate the use of mouse visual cortex as a system to address longstanding questions of visual neuroscience and cortical processing.