感受野

  • 网络receptive field
感受野感受野
  1. 论证了感受野(RF)学说和侧抑制(LI)理论的本质一致性。

    The receptive field ( RF ) theory and the lateral inhibition ( LI ) mechanism are of the same view .

  2. 结果:记录的单位主要是Aσ和C类单位,其感受野多位于距背中线0.5~2.0cm的范围内。

    Results The recorded units were mainly A σ - and C-neurons units . The receptive field of the units mainly located within the scope of 0.5-2.0 cm around the middle line of the back .

  3. 研究结果:1.无论是A类还是C类纤维,它们的感受野分布都与经络穴位密切相关。

    Results : 1 . For both A - and C-fibers , the distribution of RFs was closely associated with the APs .

  4. 两种GC感受野模型的空间传输特性研究

    A Study on the Spatial Transfer Properties of Two GC Receptive Field Model

  5. GC感受野的双高斯差和外周相互抑制网络模型的空间响应特性

    Study on Spatial Response Distribution of DOG Model and Disinhibition Model of GC Receptive Field

  6. 对神经干施以逆行性伤害性电刺激,在大鼠足部皮肤和胫骨前肌诱发伊文氏蓝渗出,显示C类纤维感受野分布。

    Noxious antidromic stimulation-induced Evans blue extravasation was used to map the RFs of C-fibers in the skin on rat foot or anterior tibial muscle .

  7. 时空分离Gabor函数模型和感受野的时间特性

    A separable spatio-temporal Gabor model and temporal properties of receptive fields

  8. 基于大周边感受野的仿生图像滤波器组合图像模拟和精配准的星载SAR图像正射校正

    A bionic image filter using extended surround receptive field Ortho-rectifying space-borne SAR based on fine registration and image simulation

  9. 大鼠medialprefrontalcortex对听皮层神经元频率感受野可塑性的调控

    Modulation of Frequency Receptive Field Plasticity of Auditory Cortex Neurons by Stimulation of Medial Prefrontal Cortex in Rats

  10. 文章讨论了▽~2G的生理学意义,用实验说明了▽~2G与视网膜上神经节细胞的感受野DOG非常相似。

    The biological implications of ▽ ~ 2G are discussed and the experiments testify the similarity between ▽ ~ 2G and receptive fields DOG of retinal ganglion cells .

  11. 本文的结果将为GC感受野视觉计算原理的进一步探索,以及以视觉原理为依据的图象技术的改进提供帮助。

    The results will be helpful to research the mechanism of the GC receptive field and to improve the design of the image system based on the visual principle .

  12. 提出了一种扩展的建模主视皮层V1区简单细胞感受野的SC算法。

    A modified SC model simulating the respective fields of simple cells in the main visual cortex V1 is proposed in this dissertation .

  13. 在视觉系统,尚无学习中感受野和Map改变的分析,可塑性证据部分来自学习过程中观察到的神经元反应的改变。

    In the visual system , as there is no RF and map analysis during learning per se , the evidence presented are from increased neuronal responsiveness , and from the effects of perceptual learning in human and non human primates .

  14. 用Gabor函数逼近对自然图像进行ICA而获得的基函数,揭示了ICA基函数与视觉皮层简单细胞感受野反应间存在内在的关系。

    The ICA basis functions obtained from some natural images are approximated with Gabor functions , which show the inherent relations between ICA basis and receptive field of simple cell in the visual cortex .

  15. 近年来研究报道指出:V1区神经元传统感受野和空间整合范围依赖于刺激的对比度。

    Recent studies have reported that the size of the classical receptive field ( CRF ) and the extent of spatial summation of V1 neurons depend on stimulus contrast .

  16. 讨论了运动目标的检测机制和R3神经元方向选择性响应的形成原因,并分析了感受野时空特性对运动目标检测的影响。

    By applying this model to study the directional selectivity of R3 neurons , the effect of spatiotemporal characteristics of the receptive field on moving-object perception was discussed .

  17. 根据生物视觉神经细胞非经典感受野的特点,结合目前计算机视觉现有的理论和方法,提出了具有方向性的高斯差算子(OrientationDifferenceofGaussians,ODOG)。

    According to the non-classical receptive field of biology vision nerve cell , the paper presents the arithmetic operators of Orientation Difference of Gaussians ( ODOG ) with the help of the present theories of computer vision .

  18. 先前的研究表明皮层反馈影响LGN神经元感受野的空间结构和中央周边交互作用,控制LGN神经元发放的时间同步性,提高视觉信息的传递。

    Previous studies have shown that cortical feedback influences the spatial structure and centre-surround interaction of LGN receptive fields , controls temporal synchronization of LGN spiking activity .

  19. 稀疏编码是一种模拟哺乳动物视觉系统主视皮层V1区简单细胞感受野的人工神经网络方法。

    The sparse coding algorithm is an artificial neural network method , which can model the receptive fields of simple cells in the mammalian primary visual cortex in brain , also known as V1 .

  20. 稀疏编码作为一种模拟哺乳动物初级视觉系统主视皮层v1区简单细胞感受野的人工神经网络的方法,能够有效地提取图像的内部特征,同时还可以获得图像的最大的信息量。

    Sparse coding as an artificial neural network method can model the receptive fields of simple cells in the mammalian primary visual cortex ( area V1 ) in brain , and can effectively extract the internal features of the image .

  21. 然后主要探讨了利用Gabor小波变换进行特征提取的方法,其优点在于Gabor小波函数可以比较准确的描述人脑视觉皮层简单细胞的感受野,从而能有效的提取人脸特征。

    Its advantage is that Gabor wavelet function can describe the receptive field of simple cells in the visual cortex of human cerebra correctly , so it can extract the face feature effectively . Finally this paper improve the feature extraction method based on Gabor wavelet transform .

  22. 2D-Gabor滤波器能够很好的模拟单细胞的二维感受野,而且能够满足测不准原理最小下界,可以最大限度的提供图像的局部的方向信息和频率信息,所以我们选择2D-Gabor作为小波变换的母函数。

    2D-Gabor filters can simulate 2D receptive field profiles of the cortical simple cells , and can reach the lowest limit of uncertainty relations , so 2D-Gabr filters can capture the information of orientation and frequency of iris image .

  23. 视觉神经元感受野与色觉恒常性

    The relation between receptive field of visual neurons and color constancy

  24. 基于人工视网膜神经节细胞感受野的图像边缘检测

    Image Edge Detection Based on Artificial Retina Ganglion Cell Receptive Field

  25. 条件刺激引起脊髓神经元外周感受野的变化

    Conditioning stimulation induced change in receptive field of spinal neurons

  26. Off型感受野研究及在红外图像处理中的应用

    The study of off-center receptive fields and the application for infrared image

  27. 感受野为简单型,并且不很大。

    Receptive field tested was simple and not very large .

  28. 脊髓损伤患者伤害性撤回反射感受野的扩大

    Expansion of nociceptive withdrawal reflex receptive fields in spinal cord injured humans

  29. 该文提出了一种基于复合感受野的图像轮廓检测仿生模型。

    Contour detection from natural scenes is a tough task in computer vision .

  30. 某些脊椎动物视网膜感受野的数学模型及其推广

    A mathematical model of receptive fields in the vertebrate retina and its extension