The Adaptation Of Kanizsa-type Illusory Contours And Its Neural Mechanisms

A fundamental task of visual perception is to group visual features-sometimes spatially separated and partially occluded—into coherent, unified representations of objects. Such as Kanizsa-type illusory contours (ICs), in which a contour is perceived despite the fragments of the contour being separated by gaps. A long-debated issue has been how different levels of visual processing contribute to perceptual completion(Harris et al.,2011; Murray et al.,2002b; Rensink & Enns,1998).whereas its dependence on top-down or bottom up influences remains unclear.First, we investigated whether Kanizsa-type illusory contours has adaption.Then we used adaptation to explore the effect of perceptual grouping on visual pattern representation in the human visual system.Adaptation is a general property of almost all neural systems.Due to its power to isolate and temporarily reduce the contribution of specific neural populations, measuring the aftereffects of adaptation has been a powerful tool of psychophysics to study the representation of various visual patterns.Our experiments use the classic paradigm of adaptation to explore the response to different types of Kanizsa-type illusory contours after adaptation. It was found in the behavior experiment that Kanizsa-type Illusory contour has adaptive effect and Line on the induce does not work, The adaptation effect of fat is larger than that of thin. ERP experimental results found:The 1C effect was largest at LOC; event-related potential (ERP) studies have shown two LOC(lateral occipital cortical)-localized ERP components that are sensitive to Ics, an early processing stage at 130-190 ms after stimulus onset, a later processing stage at 220-310 ms after stimulus onset; there is a larger IC effect over the right versus left hemisphere.These results not only demonstrate top-down influences on the neural processing of ICs but also elucidate different phases of IC processing.