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A recurrent model of contour integration in primary visual cortex

机译:初级视觉皮层轮廓整合的递归模型

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Physiological and psychophysical studies have demonstrated the importance of colinearity in visual processing. Motivated by these empirical findings we present a novel computational model of recurrent long-range processing in the primary visual cortex. Unlike other models we restrict the long-range interaction to cells of parallel orientation with colinear aligned receptive fields. We also employ a recurrent interaction using modulatory feedback, in accordance with empirical findings. Self-normalizing shunting equations guarantee the saturation of activities after a few recurrent cycles. The primary computational goal of the model is to evaluate local, often noisy orientation measurements within a more global context and to selectively enhance coherent activity by excitatory, modulating feedback. All model simulations were done with the same set of parameters. We show that the model qualitatively reproduces empirical data of response facilitation and suppression for a single bar element depending on the local surround outside the classical receptive field (M. K. Kapadia, M. Ito, C. D. Gilbert, & G. Westheimer, 1995). Next we evaluate the model performance for the processing of artificial and natural images. We quantitatively evaluate the model using two measures of contour saliency and orientation significance. We show that both measures monotonically increase during the recurrent interaction and saturate after a small number of recurrent cycles. The model clarifies how basic tasks of early vision can be accomplished within a single, biologically plausible architecture.
机译:生理和心理物理学研究证明了共线性在视觉处理中的重要性。基于这些经验性发现,我们提出了一种在初级视觉皮层中反复进行远距离加工的新型计算模型。与其他模型不同,我们将远程相互作用限制为具有共线对齐的接收场的平行定向细胞。根据经验发现,我们还使用调制反馈进行交互作用。自归一化分流方程可确保经过几个循环周期后活动达到饱和。该模型的主要计算目标是在更全局的范围内评估局部(通常是嘈杂的)定向测量,并通过激发性调制反馈来有选择地增强相干活动。所有模型仿真都是使用相同的参数集完成的。我们显示该模型定性地再现了单个条形元素的响应促进和抑制的经验数据,具体取决于经典接受域之外的局部周围环境(M. K. Kapadia,M。Ito,C。D. Gilbert和G. Westheimer,1995)。接下来,我们评估处理人造图像和自然图像的模型性能。我们使用轮廓显着性和方向显着性两种度量对模型进行定量评估。我们表明,这两个措施在循环交互过程中单调增加,并在少量循环循环后达到饱和。该模型阐明了如何在单一的,生物学上合理的架构中完成早期视觉的基本任务。

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