Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 6 of 6
Full-Text Articles in Social and Behavioral Sciences
A Dynamical Model Of Binding In Visual Cortex During Incremental Grouping And Search, Daniel Schmid, Daniel A. Braun, Heiko Neumann
A Dynamical Model Of Binding In Visual Cortex During Incremental Grouping And Search, Daniel Schmid, Daniel A. Braun, Heiko Neumann
MODVIS Workshop
Binding of visual information is crucial for several perceptual tasks. To incrementally group an object, elements in a space-feature neighborhood need to be bound together starting from an attended location (Roelfsema, TICS, 2005). To perform visual search, candidate locations and cued features must be evaluated conjunctively to retrieve a target (Treisman&Gormican, Psychol Rev, 1988). Despite different requirements on binding, both tasks are solved by the same neural substrate. In a model of perceptual decision-making, we give a mechanistic explanation for how this can be achieved. The architecture consists of a visual cortex module and a higher-order thalamic module. While the …
Is The Selective Tuning Model Of Visual Attention Still Relevant?, John K. Tsotsos
Is The Selective Tuning Model Of Visual Attention Still Relevant?, John K. Tsotsos
MODVIS Workshop
No abstract provided.
Modeling Distribution Learning In Visual Search, Andrey Chetverikov
Modeling Distribution Learning In Visual Search, Andrey Chetverikov
MODVIS Workshop
Chetverikov, Campana, and Kristjansson (2017) used visual search to demonstrate that human observers are able to extract statistical distributions of visual features. Observers searched for an odd-one-out target with distractors randomly drawn from the same distribution over the course of several “prime” trials. Then, on test trials parameters of the target and distractors changed and response times (RT) were analyzed as a function of the distance between the target position in feature space and the mean of distractor features during prime trials. The resulting RT curves followed the probability density of prime distractor distributions. This approach provides a detailed estimation …
Modeling The Neural Circuitry Underlying The Behavioral And Eeg Correlates Of Attentional Capture, Chloe Callahan-Flintoft, Brad Wyble
Modeling The Neural Circuitry Underlying The Behavioral And Eeg Correlates Of Attentional Capture, Chloe Callahan-Flintoft, Brad Wyble
MODVIS Workshop
The Reactive-Convergent Gradient Field model (R-CGF) is a unique approach to modeling spatial attention in that it links neural mechanisms to event related potentials (ERPs) from scalp EEG. This model was developed with the aim of explaining different, sometimes conflicting, findings in the attention literature. Specifically, this model address conflicting findings showing both simultaneous and serial deployment of attention. Another argument addressed by the model is whether attention to a location invokes a suppression of the spatial surround, or the selective inhibition of distractors. With the R-CGF, we have found that these results are not as incompatible as they appear …
The Cost Of Getting Lost: Measuring The Slot Machine ‘Zone’ With Attentional Dual Tasks, W. Spencer Murch
The Cost Of Getting Lost: Measuring The Slot Machine ‘Zone’ With Attentional Dual Tasks, W. Spencer Murch
International Conference on Gambling & Risk Taking
A contemporary stance on regular and problematic electronic gaming machine (EGM) gamblers argues that these individuals use machine gambling as a means of escaping aversive feelings rather than as a means of seeking out excitement. Often called “The Slot Machine Zone,” this hypothesis currently rests on qualitative and anecdotal data suggesting that machine gamblers are somehow lost in the game (Schüll, 2012). Conceptually similar to work on flow and dissociation, the zone hypothesis predicts that problematic EGM play is associated with 1) increased self-reported dissociation / immersion, 2) attenuated peripheral attention, and 3) a positive physiological state as a result. …
Focusing On Selection For Fixation, John K. Tsotsos, Calden Wloka, Yulia Kotseruba
Focusing On Selection For Fixation, John K. Tsotsos, Calden Wloka, Yulia Kotseruba
MODVIS Workshop
Building on our presentation at MODVIS 2015, we continue in our quest to discover a functional, computational, explanation of the relationship among visual attention, interpretation of visual stimuli, and eye movements, and how these produce visual behavior. Here, we focus on one component, how selection is accomplished for the next fixation. The popularity of saliency map models drives the inference that this is solved; we suggested otherwise at MODVIS 2015. Here, we provide additional empirical and theoretical arguments. We then develop arguments that a cluster of complementary, conspicuity representations drive selection, modulated by task goals and history, leading to a …