Border-ownership-dependent tilt aftereffect in incomplete figures

Sugihara, Tadashi; Tsuji, Yoshihisa; Sakai, Ko

doi:10.1364/josaa.24.000018

Cited by 10 publications

(13 citation statements)

References 20 publications

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“…In other words, the effects of contour fragments should be super-additive. However, psychophysical measurements show that incomplete figures can produce BOS adaptation (Sugihara et al, 2007), which parallels our results. We did find super-additivity in our control condition, in which the center edge was absent (Fig.…”

Section: Discussionsupporting

confidence: 90%

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Analysis of the Context Integration Mechanisms Underlying Figure–Ground Organization in the Visual Cortex

Zhang¹,

Heydt²

2010

J. Neurosci.

108

129

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Section: Discussionsupporting

confidence: 90%

“…Our finding that scrambled figures produced weaker BOS signals than squares is in agreement with this assumption, because squares would fit the circular integration fields better than the scrambled figures. A similar effect was demonstrated psychophysically (Sugihara et al, 2007). …”

Section: Discussionsupporting

confidence: 80%

Analysis of the Context Integration Mechanisms Underlying Figure–Ground Organization in the Visual Cortex

Zhang¹,

Heydt²

2010

J. Neurosci.

108

129

View full text Add to dashboard Cite

show abstract

“…In contrast, in our modeling study aimed at understanding the role of attention in early vision, we did not introduce a connection between the V2 and PP, thereby excluding the direct attentional modulation of BO-selective model cells. Our previous psychophysical studies support the crucial contributions of the low-level features extracted during early vision for DOF perception (Sugihara et al, 2007; Wagatsuma et al, 2008, 2013a; Sakai et al, 2012). However, further studies of feedback modulation are required to clarify the modulation for time-courses of the responses by BO-selective cells and of the DOF perception.…”

Section: Discussionsupporting

confidence: 83%

“…Although this model was rather abstract in that the responses of BO-selective model cells were determined solely by the balance of early-level features, it successfully reproduced the characteristics of BO-selective cells and was supported by psychophysical experiments (Sugihara et al, 2007; Sakai et al, 2012). Based on this mechanism for determining the BO, we proposed a model of attention for the modulation of BO-selective cells (Wagatsuma et al, 2008, 2013a).…”

Section: Methodsmentioning

confidence: 72%

Modeling the Time-Course of Responses for the Border Ownership Selectivity Based on the Integration of Feedforward Signals and Visual Cortical Interactions

Wagatsuma

Sakai

2017

Front. Psychol.

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Border ownership (BO) indicates which side of a contour owns a border, and it plays a fundamental role in figure-ground segregation. The majority of neurons in V2 and V4 areas of monkeys exhibit BO selectivity. A physiological work reported that the responses of BO-selective cells show a rapid transition when a presented square is flipped along its classical receptive field (CRF) so that the opposite BO is presented, whereas the transition is significantly slower when a square with a clear BO is replaced by an ambiguous edge, e.g., when the square is enlarged greatly. The rapid transition seemed to reflect the influence of feedforward processing on BO selectivity. Herein, we investigated the role of feedforward signals and cortical interactions for time-courses in BO-selective cells by modeling a visual cortical network comprising V1, V2, and posterior parietal (PP) modules. In our computational model, the recurrent pathways among these modules gradually established the visual progress and the BO assignments. Feedforward inputs mainly determined the activities of these modules. Surrounding suppression/facilitation of early-level areas modulates the activities of V2 cells to provide BO signals. Weak feedback signals from the PP module enhanced the contrast gain extracted in V1, which underlies the attentional modulation of BO signals. Model simulations exhibited time-courses depending on the BO ambiguity, which were caused by the integration delay of V1 and V2 cells and the local inhibition therein given the difference in input stimulus. However, our model did not fully explain the characteristics of crucially slow transition: the responses of BO-selective physiological cells indicated the persistent activation several times longer than that of our model after the replacement with the ambiguous edge. Furthermore, the time-course of BO-selective model cells replicated the attentional modulation of response time in human psychophysical experiments. These attentional modulations for time-courses were induced by selective enhancement of early-level features due to interactions between V1 and PP. Our proposed model suggests fundamental roles of surrounding suppression/facilitation based on feedforward inputs as well as the interactions between early and parietal visual areas with respect to the ambiguity dependence of the neural dynamics in intermediate-level vision.

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“…Although this model was rather abstract model in the sense that BO was determined solely from contrast balance without biophysical details, the model not only reproduced the characteristics of BO-selective cells but also was supported by psychophysical experiments (Sugihara et al, 2007; Sakai et al, 2012). Based on this BO signaling mechanism depending on surrounding contrasts and edges, we proposed the model of spatial attention for BO modulation (Wagatsuma et al, 2008).…”

Section: Methodsmentioning

confidence: 75%

Feature-Based Attention in Early Vision for the Modulation of Figure–Ground Segregation

2013

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We investigated psychophysically whether feature-based attention modulates the perception of figure–ground (F–G) segregation and, based on the results, we investigated computationally the neural mechanisms underlying attention modulation. In the psychophysical experiments, the attention of participants was drawn to a specific motion direction and they were then asked to judge the side of figure in an ambiguous figure with surfaces consisting of distinct motion directions. The results of these experiments showed that the surface consisting of the attended direction of motion was more frequently observed as figure, with a degree comparable to that of spatial attention (Wagatsuma et al., 2008). These experiments also showed that perception was dependent on the distribution of feature contrast, specifically the motion direction differences. These results led us to hypothesize that feature-based attention functions in a framework similar to that of spatial attention. We proposed a V1–V2 model in which feature-based attention modulates the contrast of low-level feature in V1, and this modulation of contrast changes directly the surround modulation of border-ownership-selective cells in V2; thus, perception of F–G is biased. The model exhibited good agreement with human perception in the magnitude of attention modulation and its invariance among stimuli. These results indicate that early-level features that are modified by feature-based attention alter subsequent processing along afferent pathway, and that such modification could even change the perception of object.

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Border-ownership-dependent tilt aftereffect in incomplete figures

Cited by 10 publications

References 20 publications

Analysis of the Context Integration Mechanisms Underlying Figure–Ground Organization in the Visual Cortex

Analysis of the Context Integration Mechanisms Underlying Figure–Ground Organization in the Visual Cortex

Modeling the Time-Course of Responses for the Border Ownership Selectivity Based on the Integration of Feedforward Signals and Visual Cortical Interactions

Feature-Based Attention in Early Vision for the Modulation of Figure–Ground Segregation

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