Saltykov K A
Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow.
Zh Vyssh Nerv Deiat Im I P Pavlova. 2004 Mar-Apr;54(2):250-9.
We performed an imitation simulation of receptive fields (RF) of cat cortical neurons in the primary visual cortex, which were able to detect symmetrical and asymmetrical Y-like figures. We investigated the models of the receptive fields of neurons sensitive to Y-like figures through either the convergence from half-bar detectors or disinhibition mechanism. The model of an of the receptive fields of neurons sensitive to Y-like figures through either the convergence from half-bar detectors or disinhibition mechanism. The model of an-like figure detector on the basis of convergence from the angle and orientation detectors was advanced. Tuning of the simulated receptive fields to Y-like figures was compared with their tuning to cross-like figures. It was shown that the detectors of asymmetric Y-like figures are also detectors of a cross, whereas the detectors of symmetric Y-like figures are more sensitive to Y-like figures than to crosses. The features of the model critical for sensitivity to Y-like figures (the shape, localization, and weight of the RF zones) were specified.
我们对初级视觉皮层中猫皮层神经元的感受野（RF）进行了模拟仿真，这些神经元能够检测对称和不对称的Y形图形。我们通过半条形检测器的汇聚或去抑制机制，研究了对Y形图形敏感的神经元感受野模型。提出了基于角度和方向检测器汇聚的类Y形图形检测器模型。将模拟感受野对Y形图形的调谐与其对十字形图形的调谐进行了比较。结果表明，不对称Y形图形的检测器也是十字形的检测器，而对称Y形图形的检测器对Y形图形比对十字形更敏感。明确了对Y形图形敏感度至关重要的模型特征（感受野区域的形状、定位和权重）。
