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纹状皮层细胞对光栅和棋盘格图案的反应。

Responses of striate cortex cells to grating and checkerboard patterns.

作者信息

De Valois K K, De Valois R L, Yund E W

出版信息

J Physiol. 1979 Jun;291:483-505. doi: 10.1113/jphysiol.1979.sp012827.

DOI:10.1113/jphysiol.1979.sp012827
PMID:113531
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1280915/
Abstract
  1. Cells in visual cortex have been alternately considered as bar and edge detectors, or as spatial-frequency filters responding to the two-dimensional Fourier component of patterns. 2. The responses to gratings and to checkerboards allow one to test these alternate models: the Fourier components of a checkerboard pattern do not occur at the same orientation as the edges, nor do the checkerboard spatial frequencies correspond to the check widths. 3. Knowing the orientation tuning of a cell for gratings, one can precisely predict its orientation tuning to checkerboards from the orientation of the fundamental Fourier components of the patterns, not from the orientation of their edges. This was found for both square and rectangular checkerboards, and held for both simple and complex cortical cells. 4. Knowing the spatial tuning of a cell for sine-wave gratings, one can precisely predict its spatial tuning to square and rectangular checkerboards from the spatial frequencies of the fundamental Fourier components of the patterns, not from the widths of their checks. 5. When presented with checkerboards in which not the fundamental but the upper harmonics were within its spatial bandpass, a cell's orientation tuning was found to be predictable from the (quite different) orientation of the higher Fourier harmonic components, but not from the orientation of the edges. 6. Knowing a cell's contrast sensitivity for gratings, one can predict the cell's contrast sensitivity for checkerboards much more accurately from the amplitudes of the two-dimensional Fourier components of the patterns than from the contrasts of the patterns. 7. The orientation tuning, spatial-frequency tuning and responsiveness of cells to a plaid pattern were also found to be predictable from the pattern's two-dimensional Fourier spectrum. 8. Both simple and complex striate cortex cells can thus be characterized as two-dimensional spatial-frequency filters. Since different cells responsive to the same region in the visual field are tuned to different spatial frequencies and orientations, the ensemble of such cells would fairly precisely encode the two-dimensional Fourier spectrum of a patch of visual space.
摘要
  1. 视觉皮层中的细胞曾被交替视为条形和边缘检测器,或视为对图案的二维傅里叶分量作出响应的空间频率滤波器。2. 对光栅和棋盘格的反应使人们能够检验这些不同的模型:棋盘格图案的傅里叶分量与边缘的方向不同,棋盘格的空间频率也与方格宽度不对应。3. 知道细胞对光栅的方向调谐后,就可以根据图案基本傅里叶分量的方向,而不是根据其边缘的方向,精确预测其对棋盘格的方向调谐。对于正方形和矩形棋盘格都是如此,并且对简单和复杂皮层细胞都适用。4. 知道细胞对正弦波光栅的空间调谐后,就可以根据图案基本傅里叶分量的空间频率,而不是根据其方格宽度,精确预测其对正方形和矩形棋盘格的空间调谐。5. 当呈现给细胞的棋盘格中,处于其空间带通内的不是基本谐波而是高次谐波时,发现细胞的方向调谐可以根据较高傅里叶谐波分量(完全不同)的方向来预测,而不是根据边缘的方向。6. 知道细胞对光栅的对比度敏感度后,根据图案的二维傅里叶分量的幅度,比根据图案的对比度,能更准确地预测细胞对棋盘格的对比度敏感度。7. 还发现细胞对格子图案的方向调谐、空间频率调谐和反应性可以根据图案的二维傅里叶频谱来预测。8. 因此,简单和复杂的纹状皮层细胞都可以被表征为二维空间频率滤波器。由于对视野中同一区域作出反应的不同细胞被调谐到不同的空间频率和方向,这样的细胞集合将相当精确地编码一块视觉空间的二维傅里叶频谱。
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff70/1280915/ce3915237f53/jphysiol00871-0485-a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff70/1280915/4a3929ab9680/jphysiol00871-0479-a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff70/1280915/ce3915237f53/jphysiol00871-0485-a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff70/1280915/4a3929ab9680/jphysiol00871-0479-a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff70/1280915/ce3915237f53/jphysiol00871-0485-a.jpg

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本文引用的文献

1
The contrast sensitivity of retinal ganglion cells of the cat.猫视网膜神经节细胞的对比敏感度。
J Physiol. 1966 Dec;187(3):517-52. doi: 10.1113/jphysiol.1966.sp008107.
2
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex.猫视觉皮层中的感受野、双眼相互作用及功能结构
J Physiol. 1962 Jan;160(1):106-54. doi: 10.1113/jphysiol.1962.sp006837.
3
Receptive fields of single neurones in the cat's striate cortex.猫纹状皮层中单个神经元的感受野
视觉边缘检测的生物物理学:基本原理综述
Cureus. 2020 Oct 28;12(10):e11218. doi: 10.7759/cureus.11218.
4
Scotopic Vision Is Selectively Processed in Thick-Type Columns in Human Extrastriate Cortex.暗视觉在人类外纹状皮层的厚型柱中被选择性处理。
Cereb Cortex. 2021 Jan 5;31(2):1163-1181. doi: 10.1093/cercor/bhaa284.
5
An Analytic Dissection of a Case of Cerebral Diplopia: Is the Human Brain a Holographic Device?一例脑性复视病例的分析剖析:人类大脑是全息设备吗?
Cureus. 2020 Sep 7;12(9):e10292. doi: 10.7759/cureus.10292.
6
What came out of visual memory: Inferences from decay of difference-thresholds.视觉记忆的结果:基于差异阈值衰减的推断
Atten Percept Psychophys. 2020 Aug;82(6):2963-2984. doi: 10.3758/s13414-020-02032-z.
7
The divisive normalization model of V1 neurons: a comprehensive comparison of physiological data and model predictions.初级视觉皮层(V1)神经元的归一化除法模型:生理数据与模型预测的全面比较
J Neurophysiol. 2017 Dec 1;118(6):3051-3091. doi: 10.1152/jn.00821.2016. Epub 2017 Aug 23.
8
Visually Evoked Potential Markers of Concussion History in Patients with Convergence Insufficiency.集合不足患者脑震荡病史的视觉诱发电位标志物
Optom Vis Sci. 2017 Jul;94(7):742-750. doi: 10.1097/OPX.0000000000001094.
9
A New Visual Stimulation Program for Improving Visual Acuity in Children with Visual Impairment: A Pilot Study.一种用于改善视力障碍儿童视力的新型视觉刺激方案:一项初步研究。
Front Hum Neurosci. 2016 Apr 18;10:157. doi: 10.3389/fnhum.2016.00157. eCollection 2016.
10
Using goal-driven deep learning models to understand sensory cortex.利用目标驱动的深度学习模型理解感觉皮层。
Nat Neurosci. 2016 Mar;19(3):356-65. doi: 10.1038/nn.4244.
J Physiol. 1959 Oct;148(3):574-91. doi: 10.1113/jphysiol.1959.sp006308.
4
Optical and retinal factors affecting visual resolution.影响视觉分辨率的光学和视网膜因素。
J Physiol. 1965 Dec;181(3):576-93. doi: 10.1113/jphysiol.1965.sp007784.
5
Application of Fourier analysis to the visibility of gratings.傅里叶分析在光栅可见度中的应用。
J Physiol. 1968 Aug;197(3):551-66. doi: 10.1113/jphysiol.1968.sp008574.
6
Interaction effects of visual contours on the discharge frequency of simple striate neurones.视觉轮廓对简单视皮层神经元放电频率的交互作用。
J Physiol. 1971 Dec;219(3):659-87. doi: 10.1113/jphysiol.1971.sp009682.
7
Responses to visual contours: spatio-temporal aspects of excitation in the receptive fields of simple striate neurones.对视觉轮廓的反应:简单视皮层神经元感受野中兴奋的时空特性
J Physiol. 1971 Dec;219(3):625-57. doi: 10.1113/jphysiol.1971.sp009681.
8
Pattern detection and the two-dimensional fourier transform: flickering checkerboards and chromatic mechanisms.模式检测与二维傅里叶变换:闪烁棋盘格与色觉机制
Vision Res. 1976;16(3):277-87. doi: 10.1016/0042-6989(76)90111-5.