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猕猴V4区对极性、双曲线性和笛卡尔坐标光栅的神经反应。

Neural responses to polar, hyperbolic, and Cartesian gratings in area V4 of the macaque monkey.

作者信息

Gallant J L, Connor C E, Rakshit S, Lewis J W, Van Essen D C

机构信息

Division of Biology, California Institute of Technology, Pasodena 91125, USA.

出版信息

J Neurophysiol. 1996 Oct;76(4):2718-39. doi: 10.1152/jn.1996.76.4.2718.

DOI:10.1152/jn.1996.76.4.2718
PMID:8899641
Abstract
  1. We studied the responses of 103 neurons in visual area V4 of anesthetized macaque monkeys to two novel classes of visual stimuli, polar and hyperbolic sinusoidal gratings. We suspected on both theoretical and experimental grounds that these stimuli would be useful for characterizing cells involved in intermediate stages of form analysis. Responses were compared with those obtained with conventional Cartesian sinusoidal gratings. Five independent, quantitative analyses of neural responses were carried out on the entire population of cells. 2. For each cell, responses to the most effective Cartesian, polar, and hyperbolic grating were compared directly. In 18 of 103 cells, the peak response evoked by one stimulus class was significantly different from the peak response evoked by the remaining two classes. Of the remaining 85 cells, 74 had response peaks for the three stimulus classes that were all within a factor of 2 of one another. 3. An information-theoretic analysis of the trial-by-trial responses to each stimulus showed that all but two cells transmitted significant information about the stimulus set as a whole. Comparison of the information transmitted about each stimulus class showed that 23 of 103 cells transmitted a significantly different amount of information about one class than about the remaining two classes. Of the remaining 80 cells, 55 had information transmission rates for the three stimulus classes that were all within a factor of 2 of one another. 4. To identify cells that had orderly tuning profiles in the various stimulus spaces, responses to each stimulus class were fit with a simple Gaussian model. Tuning curves were successfully fit to the data from at least one stimulus class in 98 of 103 cells, and such fits were obtained for at least two classes in 87 cells. Individual neurons showed a wide range of tuning profiles, with response peaks scattered throughout the various stimulus spaces; there were no major differences in the distributions of the widths or positions of tuning curves obtained for the different stimulus classes. 5. Neurons were classified according to their response profiles across the stimulus set with two objective methods, hierarchical cluster analysis and multidimensional scaling. These two analyses produced qualitatively similar results. The most distinct group of cells was highly selective for hyperbolic gratings. The majority of cells fell into one of two groups that were selective for polar gratings: one selective for radial gratings and one selective for concentric or spiral gratings. There was no group whose primary selectivity was for Cartesian gratings. 6. To determine whether cells belonging to identified classes were anatomically clustered, we compared the distribution of classified cells across electrode penetrations with the distribution that would be expected if the cells were distributed randomly. Cells with similar response profiles were often anatomically clustered. 7. A position test was used to determine whether response profiles were sensitive to precise stimulus placement. A subset of Cartesian and non-Cartesian gratings was presented at several positions in and near the receptive field. The test was run on 13 cells from the present study and 28 cells from an earlier study. All cells showed a significant degree of invariance in their selectivity across changes in stimulus position of up to 0.5 classical receptive field diameters. 8. A length and width test was used to determine whether cells preferring non-Cartesian gratings were selective for Cartesian grating length or width. Responses to Cartesian gratings shorter or narrower than the classical receptive field were compared with those obtained with full-field Cartesian and non-Cartesian gratings in 29 cells. Of the four cells that had shown significant preferences for non-Cartesian gratings in the main test, none showed tuning for Cartesian grating length or width that would account for their non-Cartesian res
摘要
  1. 我们研究了麻醉状态下猕猴视觉区域V4中103个神经元对两类新型视觉刺激——极坐标和双曲线正弦光栅的反应。基于理论和实验依据,我们怀疑这些刺激对于表征参与形态分析中间阶段的细胞会很有用。将这些反应与用传统笛卡尔正弦光栅获得的反应进行了比较。对所有细胞进行了五项独立的神经反应定量分析。

  2. 对于每个细胞,直接比较其对最有效的笛卡尔、极坐标和双曲线光栅的反应。在103个细胞中的18个细胞中,一类刺激诱发的峰值反应与其余两类刺激诱发的峰值反应有显著差异。在其余85个细胞中,74个细胞对三类刺激的反应峰值彼此相差均在2倍以内。

  3. 对每个刺激的逐次试验反应进行的信息论分析表明,除两个细胞外,所有细胞都传递了关于整个刺激集的显著信息。对关于每类刺激所传递信息的比较表明,103个细胞中有23个细胞对一类刺激传递的信息量与对其余两类刺激传递的信息量有显著差异。在其余80个细胞中,55个细胞对三类刺激的信息传递率彼此相差均在2倍以内。

  4. 为了识别在各种刺激空间中具有有序调谐曲线的细胞,对每类刺激的反应用一个简单的高斯模型进行拟合。103个细胞中有98个细胞的调谐曲线至少对一类刺激的数据成功拟合,87个细胞的调谐曲线至少对两类刺激的数据成功拟合。单个神经元表现出广泛的调谐曲线,反应峰值分散在各种刺激空间中;不同刺激类别的调谐曲线宽度或位置分布没有重大差异。

  5. 用层次聚类分析和多维标度这两种客观方法根据神经元在整个刺激集上的反应特征对其进行分类。这两种分析产生了定性相似的结果。最明显的一组细胞对双曲线光栅具有高度选择性。大多数细胞分为对极坐标光栅有选择性的两组之一:一组对径向光栅有选择性,另一组对同心或螺旋光栅有选择性。没有一组细胞主要对笛卡尔光栅有选择性。

  6. 为了确定属于已识别类别的细胞在解剖学上是否聚类,我们将分类细胞在电极穿透中的分布与假设细胞随机分布时预期的分布进行了比较。具有相似反应特征的细胞在解剖学上常常聚类。

  7. 用位置测试来确定反应特征是否对精确的刺激位置敏感。在感受野及其附近的几个位置呈现了一部分笛卡尔和非笛卡尔光栅。对本研究中的13个细胞和早期研究中的28个细胞进行了该测试。所有细胞在刺激位置变化达0.5个经典感受野直径时,其选择性都表现出显著程度的不变性。

  8. 用长度和宽度测试来确定偏好非笛卡尔光栅的细胞是否对笛卡尔光栅的长度或宽度有选择性。在29个细胞中,将对短于或窄于经典感受野的笛卡尔光栅的反应与对全场笛卡尔和非笛卡尔光栅的反应进行了比较。在主要测试中对非笛卡尔光栅表现出显著偏好的4个细胞中,没有一个细胞对笛卡尔光栅长度或宽度的调谐能够解释其对非笛卡尔光栅的反应。

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