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A Neural Model of Contour Integration in the Primary Visual Cortex

机译:主视觉皮层轮廓融合的神经模型

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摘要

Experimental observations suggest that contour integration may take place in V1. However, there has yet to be a model of contour integration that uses only known V1 elements, operations, and connection patterns.This article introduces such a model, using orient ation selective cells, local cortical circuits, and horizontal intracortical connections. The model is composed of recurrently connected excitatory neurons and inhibitory interneurons, receiving visual input via oriented receptive fields resembling those found in primary visual cortex. Intracortical interactions modify initial activity patterns from input, selectively amplifying the activities of edges that form smooth contours in the image. The neural activities produced by such interactions are oscillatory and edge segments within a contour oscillate in synchrony. It is shown analytically and empirically that the extent of contour enhancement and neural synchrony increases with the smoothness, length, and closure of contours, as observed in experiments on some of these phenomena. In addition, the model incorporates a feedback mechanism that allows higher visual centers selectively to enhance or suppress sensitivities to given contours, effectively segmenting one from another. The model makes the testable prediction that the horizontal cortical connections are more likely to target excitatory (or inhibitory) cells when the two linked cells have their preferred orientation aligned with (or orthogonal to) their relative receptive field center displacements.
机译:实验观察表明,轮廓整合可能在V1中进行。但是,还没有一个轮廓整合模型仅使用已知的V1元素,操作和连接模式。本文介绍了这种模型,它使用了定向选择单元,局部皮质回路和水平皮质内连接。该模型由反复连接的兴奋性神经元和抑制​​性中间神经元组成,它们通过类似于在初级视觉皮层中发现的定向接受场接收视觉输入。皮层内相互作用从输入中修改初始活动模式,有选择地放大在图像中形成平滑轮廓的边缘的活动。由这种相互作用产生的神经活动是振荡的,轮廓内的边缘段同步振荡。从分析和经验上可以看出,轮廓增强和神经同步性的程度随轮廓的平滑度,长度和闭合度的增加而增加,如对某些现象的实验所观察到的。此外,该模型还结合了一种反馈机制,该机制允许较高的视觉中心选择性地增强或抑制对给定轮廓的敏感度,从而有效地将彼此分割开。该模型做出可检验的预测,即当两个链接的细胞的首选方向与其相对接收场中心位移对齐(或正交)时,水平皮质连接更有可能靶向兴奋性(或抑制性)细胞。

著录项

  • 来源
    《Neural computation》 |1998年第4期|903-940|共38页
  • 作者

    Li Z;

  • 作者单位

    Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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