scholarly journals The role of color in motion feature-binding errors

2015 ◽  
Vol 15 (13) ◽  
pp. 8 ◽  
Author(s):  
Natalie N. Stepien ◽  
Steven K. Shevell
Keyword(s):  
Feature Binding ◽  
Motion Feature ◽  
Binding Errors

scholarly journals The role of transient attention in crowding and feature binding

2021 ◽  
Author(s):  
Bahiya Kewan ◽  
Amit Yashar
Keyword(s):  
Essential Role ◽  
Mixture Modeling ◽  
Feature Binding ◽  
Field Size ◽  
Target Orientation ◽  
Attentional Effect ◽  
The Asymmetry ◽  
Target Binding ◽  
Binding Errors

Crowding refers to the failure to identify a peripheral object due to nearby objects (flankers). A hallmark of crowding is the inner-outer asymmetry, i.e., the outer flanker (more peripheral) produces stronger interference than the inner one. Here, by manipulating attention, we tested the predictions of two competing accounts: the attentional account, which predicts a positive attentional effect on the asymmetry (i.e., attention to the outer flanker will increase the asymmetry), and the receptive field size account, which predicts a negative attentional effect. In Experiment 1, observers estimated a Gabor target orientation. A peripheral pre-cue draws attention to one of three locations: target, inner or outer flanker. Probabilistic mixture modeling demonstrated the asymmetry by showing that observers often misreported the outer flanker orientation as the target. Interestingly, the outer cue led to a higher misreport rate of the outer flanker, and the inner cue led to a lower misreport rate of the outer flanker. Experiment 2 tested the effect of asymmetry and attention on binding errors (e.g., reporting the tilt of one presented item with the color of another item). Observers reported both the tilt and color of the target. Attention increased target reports in both dimensions and led to a decrease in target binding. However, attention did not lead to a decrease in flanker biding errors. The results are consistent with the attentional account of crowding and suggest that the locus of spatial attention plays an essential role in crowding and the inner-outer asymmetry.

scholarly journals Binding Mechanisms in Visual Perception and Their Link With Neural Oscillations: A Review of Evidence From tACS

2021 ◽  
Vol 12 ◽  
Author(s):  
Andrea Ghiani ◽  
Marcello Maniglia ◽  
Luca Battaglini ◽  
David Melcher ◽  
Luca Ronconi
Keyword(s):  
Visual Perception ◽  
Feature Binding ◽  
Causal Role ◽  
Oscillatory Activity ◽  
Dependent Manner ◽  
Brain Oscillations ◽  
Temporal Binding ◽  
Neurophysiological Studies ◽  
Binding Mechanisms

Neurophysiological studies in humans employing magneto- (MEG) and electro- (EEG) encephalography increasingly suggest that oscillatory rhythmic activity of the brain may be a core mechanism for binding sensory information across space, time, and object features to generate a unified perceptual representation. To distinguish whether oscillatory activity is causally related to binding processes or whether, on the contrary, it is a mere epiphenomenon, one possibility is to employ neuromodulatory techniques such as transcranial alternating current stimulation (tACS). tACS has seen a rising interest due to its ability to modulate brain oscillations in a frequency-dependent manner. In the present review, we critically summarize current tACS evidence for a causal role of oscillatory activity in spatial, temporal, and feature binding in the context of visual perception. For temporal binding, the emerging picture supports a causal link with the power and the frequency of occipital alpha rhythms (8–12 Hz); however, there is no consistent evidence on the causal role of the phase of occipital tACS. For feature binding, the only study available showed a modulation by occipital alpha tACS. The majority of studies that successfully modulated oscillatory activity and behavioral performance in spatial binding targeted parietal areas, with the main rhythms causally linked being the theta (~7 Hz) and beta (~18 Hz) frequency bands. On the other hand, spatio-temporal binding has been directly modulated by parieto-occipital gamma (~40–60 Hz) and alpha (10 Hz) tACS, suggesting a potential role of cross-frequency coupling when binding across space and time. Nonetheless, negative or partial results have also been observed, suggesting methodological limitations that should be addressed in future research. Overall, the emerging picture seems to support a causal role of brain oscillations in binding processes and, consequently, a certain degree of plasticity for shaping binding mechanisms in visual perception, which, if proved to have long lasting effects, can find applications in different clinical populations.

scholarly journals The role of location in visual feature binding

2019 ◽  
Vol 81 (5) ◽  
pp. 1551-1563 ◽  
Author(s):  
Oscar Kovacs ◽  
Irina M. Harris
Keyword(s):  
Feature Binding ◽  
Visual Feature

scholarly journals Aging and feature-binding in visual working memory: The role of verbal rehearsal.

2019 ◽  
Vol 34 (7) ◽  
pp. 933-953 ◽  
Author(s):  
Alicia Forsberg ◽  
Wendy Johnson ◽  
Robert H. Logie
Keyword(s):  
Working Memory ◽  
Visual Working Memory ◽  
Feature Binding ◽  
Verbal Rehearsal

Do S cones contribute to color-motion feature binding?

2014 ◽  
Vol 31 (4) ◽  
pp. A60 ◽  
Author(s):  
Wei Wang ◽  
Steven K. Shevell
Keyword(s):  
Feature Binding ◽  
Motion Feature

scholarly journals Task relevance determines binding of effect features in action planning

2020 ◽  
Vol 82 (8) ◽  
pp. 3811-3831 ◽  
Author(s):  
Viola Mocke ◽  
Lisa Weller ◽  
Christian Frings ◽  
Klaus Rothermund ◽  
Wilfried Kunde
Keyword(s):  
Action Planning ◽  
Middle Finger ◽  
Feature Binding ◽  
Reference Object ◽  
Related Effect ◽  
Task Relevance ◽  
Feature Overlap ◽  
Task Irrelevant ◽  
Relevant Experiment

Abstract Action planning can be construed as the temporary binding of features of perceptual action effects. While previous research demonstrated binding for task-relevant, body-related effect features, the role of task-irrelevant or environment-related effect features in action planning is less clear. Here, we studied whether task-relevance or body-relatedness determines feature binding in action planning. Participants planned an action A, but before executing it initiated an intermediate action B. Each action relied on a body-related effect feature (index vs. middle finger movement) and an environment-related effect feature (cursor movement towards vs. away from a reference object). In Experiments 1 and 2, both effects were task-relevant. Performance in action B suffered from partial feature overlap with action A compared to full feature repetition or alternation, which is in line with binding of both features while planning action A. Importantly, this cost disappeared when all features were available but only body-related features were task-relevant (Experiment 3). When only the environment-related effect of action A was known in advance, action B benefitted when it aimed at the same (vs. a different) environment-related effect (Experiment 4). Consequently, the present results support the idea that task relevance determines whether binding of body-related and environment-related effect features takes place while the pre-activation of environment-related features without binding them primes feature-overlapping actions.

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