How Do We See a Changing World?

S. Grossberg
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Abstract

This chapter begins an analysis of how we see changing visual images and scenes. It explains why moving objects do not create unduly persistent trails, or streaks, of persistent visual images that could interfere with our ability to see what is there after they pass by. It does so by showing how the circuits already described for static visual form perception automatically reset themselves in response to changing visual cues, and thereby prevent undue persistence, when they are augmented with habituative transmitter gates, or MTM traces. The MTM traces gate specific connections among the hypercomplex cells that control completion of static boundaries. These MTM-gated circuits embody gated dipoles whose rebound properties autonomically reset boundaries at appropriate times in response to changing visual inputs. A tradeoff between boundary resonance and reset is clarified by this analysis. This kind of resonance and reset cycle shares many properties with the resonance and reset cycle that controls the learning of recognition categories in Adaptive Resonance Theory. The MTM-gated circuits quantitatively explain the main properties of visual persistence that do occur, including persistence of real and illusory contours, persistence after offset of oriented adapting stimuli, and persistence due to spatial competition. Psychophysical data about afterimages and residual traces are also explained by the same mechanisms.
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我们如何看待不断变化的世界?
本章开始分析我们如何看待不断变化的视觉图像和场景。它解释了为什么移动的物体不会产生过于持久的痕迹或条纹,而这些痕迹或条纹会干扰我们在物体经过后看到物体的能力。它通过展示已经描述的静态视觉形式感知回路是如何根据变化的视觉线索自动重置自己的,从而防止过度的持久性,当它们被习惯性的传递器门或MTM痕迹所增强时。MTM跟踪控制静态边界完成的超复杂细胞之间的门特定连接。这些mtm门控电路包含门控偶极子,其反弹特性在适当的时间自动重置边界,以响应不断变化的视觉输入。边界共振和复位之间的权衡是由这个分析澄清。这种共振和重置周期与自适应共振理论中控制识别类别学习的共振和重置周期有许多共同的性质。mtm门控电路定量地解释了确实发生的视觉持久性的主要特性,包括真实和虚幻轮廓的持久性,定向适应刺激抵消后的持久性,以及由于空间竞争而产生的持久性。关于后像和残留痕迹的心理物理数据也可以用相同的机制来解释。
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