A Neural Model of the Scintillating Grid Illusion: Disinhibition and Self-Inhibition in Early Vision

Yu, Ying; Choe, Yoonsuck

doi:10.1162/089976606775623306

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…After formation, it steadily moved towards the north with a relatively fast speed, gradually intensifying in strength. By 17: 00, it had strengthened into a severe tropical storm with a decrease in atmospheric pressure from 998 to 985 hPa, the variation of pressure in 6 h (Δp6) was −13 hPa, greatly exceeding the RI standard of −7.78 hPa from Yu and Yao (2006). The wind speed increased from 18 to 25 m/s.…”

Section: The Ri Characteristics Of Typhoon "Mekkhala"mentioning

confidence: 99%

“…Many scholars have conducted extensive research on nearshore TC intensification through theoretical studies, observational analysis, and numerical simulations, which has given us a better understanding of nearshore TC intensification. Yu and Yao (2006) proposed the criteria (Δp < −7.78 hPa/6 h) for RI, and conducted synthetic analysis and comparative analysis of two groups of TCs with RI and rapid weakening in China's nearshore regions. They discovered that the location of TCs with RI would not occur in highlatitude areas north of 30 °N or in low-latitude areas of 0 °-5 °N.…”

Section: Introductionmentioning

confidence: 99%

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Observation and simulation study on the rapid intensification mechanism of Typhoon “Mekkhala” (2006)

Chen,

Jiang,

Huang

et al. 2023

Front. Earth Sci.

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Based on Doppler Weather radar observations and numerical simulations applying the Weather Research and Forecasting (WRF) system, this study focused on the rapid intensification (RI) of Typhoon “Mekkhala” (2006) in the inshore area in 2020. The simulated track of the typhoon relatively matched with the observation, with a slight eastward bias compared to the observed track. During the phase of RI, there was a slight weakening of vertical wind shear between 200–500 hPa. The temporary decrease in vertical wind shear became a favorable factor for the intensification of the typhoon. In general, vertical wind shear of the lower atmosphere is the key to supporting the RI of Typhoon Mekkhala. In the middle troposphere, the southward component of the vertical wind shear suddenly increases, indicates that the inflow of southern wind to the core of the typhoon had strengthened. Thus, the strengthening of the moisture transport by enhanced southern wind, contributed to the intensification of the typhoon. During the intensification of the typhoon, the low-level vorticity was significantly enhanced, and the high vorticity values expanded from the lower to higher troposphere. The vertical distribution of vorticity transformed from symmetry to asymmetry. The development of secondary circulation on both sides of the typhoon is a dynamic factor for intensification.

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Section: The Ri Characteristics Of Typhoon "Mekkhala"mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Observation and simulation study on the rapid intensification mechanism of Typhoon “Mekkhala” (2006)

Chen,

Jiang,

Huang

et al. 2023

Front. Earth Sci.

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Modeling disinhibition within a layered structure of the LGMD neuron

Silva

Santos

2013

The 2013 International Joint Conference on Neural Networks (IJCNN)

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Due to their relatively simple nervous system, insects are an excellent way through which we can investigate how visual information is acquired and processed in order to trigger specific behaviours, as flight stabilization, flying speed adaptation, collision avoidance responses, among others. From the behaviours previously mentioned, we are particularly interested in visually evoked collision avoidance responses. These behaviors are, by necessity, fast and robust, making them excellent systems to study the neural basis of behavior. On the other hand, artificial collision avoidance is a complex task, in which the algorithms used need to be fast to process the captured data and then perform real time decisions. Consequently, neurorobotic models may provide a foundation for the development of more effective and autonomous devices. In this paper, we will focus our attention in the Lobula Giant Movement Detector (LGMD), which is a visual neuron, located in the third layer of the locust optic lobe, that responds selectively to approaching objects, being responsible for trigger collision avoidance maneuvers in locusts. This selectivity of the LGMD neuron to approaching objects seems to result from the dynamics of the network pre-synaptic to this neuron. Tipically, this modelation is done by a conventional Difference of Gaussians (DoG) filter. In this paper, we propose the integration of a different model, an Inversed Difference of Gaussians (IDoG) filter, which preserves the different level of brightness in the captured image, enhancing the contrast at the edges. This change is expected to increase the performance of the LGMD model. Finally, a comparative analysis of both modelations, as well as its effect in the final response of the LGMD neuron, will be performed.

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Dissociation of perceived size and perceived strength in the scintillating grid illusion

Matsuno

Sato

2019

Journal of Vision

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The scintillating grid illusion is a geometric visual illusion where illusory dark spots are perceived on white circular patches that are located at the intersections of a grid pattern. Previous studies have measured the perceived strength of the illusory spots by varying stimulus and viewing conditions, to elucidate the mechanisms underlying the illusion; however, findings remain inconclusive. In the present study, we measured the perceived size of the illusory spots, in addition to their perceived strength, by varying the size of the geometric components and the orientation of the stimulus, to further investigate the mechanism behind this illusion. We found that the dependency of perceived spot size on the change of the stimulus parameters is dissociated from that of the perceived spot strength. The perceived size of the illusory spots linearly correlated with the size of the white patches and was less dependent on the width of the grid bars and the orientation of the stimulus, while the perceived strength was characterized by a quadratic relationship with patch size and bar width and was monotonically modulated depending on the orientation of the stimuli. These results suggest that different factors separately constrain size and strength within the processes that elicit the illusory spots. We propose that the mechanism underlying the scintillating grid illusion is based on the interruption of the surface formation process of white patches by the interference of the orientation signals of gray bars.

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A Neural Model of the Scintillating Grid Illusion: Disinhibition and Self-Inhibition in Early Vision

Cited by 6 publications

References 30 publications

Observation and simulation study on the rapid intensification mechanism of Typhoon “Mekkhala” (2006)

Observation and simulation study on the rapid intensification mechanism of Typhoon “Mekkhala” (2006)

Modeling disinhibition within a layered structure of the LGMD neuron

Dissociation of perceived size and perceived strength in the scintillating grid illusion

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