首页> 外文期刊>NeuroImage >Mapping stimulus feature selectivity in macaque V1 by two-photon Ca2+ imaging: Encoding-model analysis of fluorescence responses to natural movies
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Mapping stimulus feature selectivity in macaque V1 by two-photon Ca2+ imaging: Encoding-model analysis of fluorescence responses to natural movies

机译:通过双光子CA2 +成像在猕猴V1中映射刺激特征选择性:对自然电影的荧光反应的编码模型分析

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In vivo calcium (Ca2+) imaging using two-photon microscopy allows activity to be monitored simultaneously from hundreds of individual neurons within a local population. While this allows us to gain important insights into how cortical neurons represent sensory information, factors such as photo-bleaching of the Ca2+ indicator limit imaging duration (and thus the numbers of stimuli that can be tested), which in turn hampers the full characterization of neuronal response properties. Here, we demonstrate that using an encoding model combined with presentation of natural movies results in detailed characterization of receptive field (RF) properties despite the relatively short time for data collection. During presentation of natural movie clips to macaque monkeys, we recorded fluorescence signals from primary visual cortex (V1) neurons that had been loaded with a Ca2+ indicator. For each recorded neuron, we constructed an encoding model that comprised an array of motion-energy filters that filed over the RFs. We optimized the weight of each filter's output so that the linear sum of the outputs across the filters mimicked the neuron's Ca2+-signal responses. These models were able to predict the neural responses to a different set of natural movies with a significant degree of accuracy. Moreover, the orientation tunings of neurons simulated by the model were highly correlated with those experimentally obtained when grating stimuli were presented to the monkeys. The model predictions were also consistent with what is known about spatial frequency tunings, the structure of excitatory subfields of RFs (i.e., classical RFs), and functional maps for these RF properties in V1. Further analysis revealed a new aspect of V1 functional architecture; the extent and distribution of suppressive RF subfields varied among nearby neurons, while those for excitatory subfields were shared. Thus, applying our encoding-model analysis to two-photon Ca2+ imaging of neuronal responses to natural movies provides a reliable and efficient means of analyzing a wide range of RF properties in multiple neurons imaged in a local region.
机译:体内钙(钙),使用双光子显微镜成像允许同时从数百个单独的神经元的局部群体内监测活性。虽然这允许我们获得了重要的见解神经元如何皮质表示感觉信息,因素,如Ca 2+指示剂限制成像持续时间的光漂白(并因此刺激的数目可测试),这反过来又篮的充分表征神经元响应特性。在这里,我们表明,当使用的编码模式,尽管时间比较短的数据收集与在感受野(RF)性能的细致刻画自然电影效果演示相结合。在自然的电影剪辑的呈现给猕猴,我们记录从初级视觉皮层(V1)已被加载有Ca 2+指示剂神经元的荧光信号。对于每个记录,神经元,我们构建的编码模型,由该申请在RFS运动能量过滤器的阵列。我们优化每个滤波器的输出的权重,使得跨越过滤器的输出的线性总和模仿神经元的钙离子 - 信号响应。这些模型能够有显著的精确度,预测到一组不同的自然电影的神经反应。此外,通过该模型模拟神经元的取向的调谐与当光栅刺激被呈现给猴实验获得的那些是高度相关的。该模型预测是还与已知的关于空间频率调谐一致,RFS(即,古典RFS)和功能图中V1这些RF特性的兴奋性的子场的结构。进一步分析揭示V1功能体系结构的一个新的方面;抑制RF子场的程度和分布附近神经元间的变化,而对于那些子场兴奋性进行共享。因此,应用我们的编码模型分析的神经元的反应双光子钙成像+自然的电影提供了分析广泛在在局部区域中成像的多个神经元的RF特性的可靠且有效的手段。

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