Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT, 06511, USA.
Interdepartmental Neuroscience Program, Yale University, New Haven, CT, 06511, USA.
Nat Commun. 2019 Oct 31;10(1):4979. doi: 10.1038/s41467-019-12974-0.
In functional imaging, large numbers of neurons are measured during sensory stimulation or behavior. This data can be used to map receptive fields that describe neural associations with stimuli or with behavior. The temporal resolution of these receptive fields has traditionally been limited by image acquisition rates. However, even when acquisitions scan slowly across a population of neurons, individual neurons may be measured at precisely known times. Here, we apply a method that leverages the timing of neural measurements to find receptive fields with temporal resolutions higher than the image acquisition rate. We use this temporal super-resolution method to resolve fast voltage and glutamate responses in visual neurons in Drosophila and to extract calcium receptive fields from cortical neurons in mammals. We provide code to easily apply this method to existing datasets. This method requires no specialized hardware and can be used with any optical indicator of neural activity.
在功能成像中，在感觉刺激或行为期间测量大量神经元。这些数据可用于绘制描述神经元与刺激或行为之间关联的感受野。这些感受野的时间分辨率传统上受到图像采集率的限制。然而，即使在采集以较慢的速度扫描神经元群体时，也可以在精确已知的时间测量单个神经元。在这里，我们应用一种利用神经测量时间的方法来找到时间分辨率高于图像采集率的感受野。我们使用这种时间超分辨率方法来解析果蝇视觉神经元中的快速电压和谷氨酸响应，并从哺乳动物的皮层神经元中提取钙感受野。我们提供了代码，可轻松将此方法应用于现有数据集。该方法不需要特殊的硬件，并且可以与任何神经活动的光学指示剂一起使用。
