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Cognition and Perception Commons

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Spatial-Relational Learning And Memory Deficits Associated With Nmdar Autoantibodies In Systemic Lupus Erythematosus, Brittany L. Bascetta 2017 The Graduate Center, City University of New York

Spatial-Relational Learning And Memory Deficits Associated With Nmdar Autoantibodies In Systemic Lupus Erythematosus, Brittany L. Bascetta

All Graduate Works by Year: Dissertations, Theses, and Capstone Projects

Individuals with Systemic Lupus Erythematosus (SLE) experience inflammation that may target any organ within the body, including the central and peripheral nervous systems. Additionally, these individuals often demonstrate psychological dysfunctions including emotional and cognitive deficits; however, research is inconsistent as to the nature and cause of these dysfunctions. While there are multiple factors that may increase risk for variability in cognitive function, such as population differences, socioeconomic status (SES), mood disorders (depression and anxiety), medication effects, and disease activity, these factors do not reliably predict the severity and extent of cognitive deficits. A growing body of animal research associates autoantibodies ...


Determining Visual Shape Features For Novel Object Classes, yaniv morgenstern, Filipp Schmidt, Roland W. Fleming 2017 Justus-Liebig-Universität Gießen

Determining Visual Shape Features For Novel Object Classes, Yaniv Morgenstern, Filipp Schmidt, Roland W. Fleming

MODVIS Workshop

The visual representation of shape reduces a high-dimensional input into a smaller set of more informative features. These features can span a range of abstractions from shallow features based on statistical summaries of images, to deep features related to the generative causes of the shapes. Here we examined the depth of the visual system’s representation of shape by comparing human judgments of whether novel shapes appeared to belong to a common class with a range of models with different shape representations. Each shape class was based on a unique 2D base shape, formed by attaching parts of contours from ...


Shape Features Underlying The Perception Of Liquids, Jan Jaap R. van Assen, Pascal Barla, Roland W. Fleming 2017 Department of Psychology, Justus-Liebig-University Giessen

Shape Features Underlying The Perception Of Liquids, Jan Jaap R. Van Assen, Pascal Barla, Roland W. Fleming

MODVIS Workshop

No abstract provided.


Real Time Learning Level Assessment Using Eye Tracking, Saurin S. Parikh, Hari Kalva 2017 Florida Atlantic University

Real Time Learning Level Assessment Using Eye Tracking, Saurin S. Parikh, Hari Kalva

MODVIS Workshop

E-Learning is emerging as a convenient and effective learning tool. However, the challenge with eLearning is the lack of effective tools to assess levels of learning. Ability to predict difficult content in real time enables eLearning systems to dynamically provide supplementary content to meet learners’ needs. Recent developments have made possible low-cost eye trackers, which enables a new class of applications based on eye response. In comparison to past attempts using bio-metrics in learning assessments, with eye tracking, we can have access to the exact stimulus that is causing the response. A key aspect of the proposed approach is the ...


Neural Computation Of Statistical Image Properties In Peripheral Vision, Christoph Zetzsche, Ruth Rosenholtz, Noshaba Cheema, Konrad Gadzicki, Lex Fridman 2017 Cognitive Neuroinformatics, University of Bremen

Neural Computation Of Statistical Image Properties In Peripheral Vision, Christoph Zetzsche, Ruth Rosenholtz, Noshaba Cheema, Konrad Gadzicki, Lex Fridman

MODVIS Workshop

No abstract provided.


The Role Of Symmetry In Scene Categorization By Human Observers, John D. Wilder, Morteza Rezanejad, Sven Dickinson, Allan Jepson, Kaleem Siddiqi, Dirk B. Walther 2017 University of Toronto

The Role Of Symmetry In Scene Categorization By Human Observers, John D. Wilder, Morteza Rezanejad, Sven Dickinson, Allan Jepson, Kaleem Siddiqi, Dirk B. Walther

MODVIS Workshop

No abstract provided.


Using Classification Images To Understand Models Of Lightness Perception, Minjung Kim, Jason M. Gold, Richard F. Murray 2017 York University

Using Classification Images To Understand Models Of Lightness Perception, Minjung Kim, Jason M. Gold, Richard F. Murray

MODVIS Workshop

No abstract provided.


Edge Integration And Image Segmentation In Lightness And Color: Computational And Neural Theory, Michael E. Rudd 2017 mrudd@u.washington.edu

Edge Integration And Image Segmentation In Lightness And Color: Computational And Neural Theory, Michael E. Rudd

MODVIS Workshop

No abstract provided.


Positive Or Correlated Channels In Parallel Race Systems: Help Or Hurt?, James T. Townsend, Ru Zhang, Yanjun Liu, Michael J. Wenger 2017 Indiana University - Bloomington

Positive Or Correlated Channels In Parallel Race Systems: Help Or Hurt?, James T. Townsend, Ru Zhang, Yanjun Liu, Michael J. Wenger

MODVIS Workshop

No abstract provided.


Color Algebras, Jeffrey B. Mulligan 2017 NASA Ames Research Center

Color Algebras, Jeffrey B. Mulligan

MODVIS Workshop

No abstract provided.


Large-Scale Discovery Of Visual Features For Object Recognition, Drew Linsley, Sven Eberhardt, Dan Shiebler, Thomas Serre 2017 Brown University

Large-Scale Discovery Of Visual Features For Object Recognition, Drew Linsley, Sven Eberhardt, Dan Shiebler, Thomas Serre

MODVIS Workshop

A central goal in vision science is to identify features that are important for object and scene recognition. Reverse correlation methods have been used to uncover features important for recognizing faces and other stimuli with low intra-class variability. However, these methods are less successful when applied to natural scenes with variability in their appearance.

To rectify this, we developed Clicktionary, a web-based game for identifying features for recognizing real-world objects. Pairs of participants play together in different roles to identify objects: A “teacher” reveals image regions diagnostic of the object’s category while a “student” tries to recognize the object ...


A Computational Account Of A Class Of Orientation Illusions, Dejan M. Todorovic 2017 University of Belgrade, Serbia

A Computational Account Of A Class Of Orientation Illusions, Dejan M. Todorovic

MODVIS Workshop

Contrast-dependent orientation illusions are phenomena in which the appearance of the illusion depends not only on geometrical arrangements of the constituents of illusory configurations, but also on their luminance levels. Whereas certain standard configurations may evoke strong illusory effects, their contrast-manipulated variants (configurations in which only the luminance contrast polarity of some of their elements is manipulated, while retaining the geometry of the standard versions) may show weakened or no illusory effects, or even reversed illusions. Although generally rather salient, the contrast-dependent illusions have not been researched in much detail, except for the well-known Münsterberg (Café Wall) illusion. Here I ...


Heuristics From Statistics—Modeling The Behavior And Perception Of Non-Rigid Materials, Vivian C. Paulun, Roland W. Fleming 2017 Justus Liebig University, Giessen

Heuristics From Statistics—Modeling The Behavior And Perception Of Non-Rigid Materials, Vivian C. Paulun, Roland W. Fleming

MODVIS Workshop

No abstract provided.


Modeling The Neural Circuitry Underlying The Behavioral And Eeg Correlates Of Attentional Capture, Chloe Callahan-Flintoft, Brad Wyble 2017 The Pennsylvania State University

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 ...


Spatial-Temporal Visible Contrast Energy Predictions Of Detection Thresholds, Albert Ahumada, Andrew B. Watson, Jihyun Yeonan-Kim 2017 NASA Ames Research Center

Spatial-Temporal Visible Contrast Energy Predictions Of Detection Thresholds, Albert Ahumada, Andrew B. Watson, Jihyun Yeonan-Kim

MODVIS Workshop

The Barten (1994) spatial-temporal model was used to predict the Gabor stimulus contrast energy thresholds reported by Carney et al. (2013). The RMS error of fit was 1.6 dB, corrected for the number of parameters (6) estimated. The model has two lowpass spatial-temporal channels, combined by inhibition as in our spatial models (Watson & Ahumada, 2005; Ahumada & Watson, 2013). Computation of models predictions were greatly simplified by the spatial-temporal separability of the stimuli and the simplifications that result from using Gaussian filters in the spatial domain. The best fitting spatial filter frequency cutoffs are 11.4 and 0.88 cpd. The temporal ...


Computational Modeling Of Contrast Sensitivity And Orientation Tuning In Schizophrenia, Steven M. Silverstein, Docia L. Demmin, James A. Bednar 2017 Rutgers University - New Brunswick/Piscataway

Computational Modeling Of Contrast Sensitivity And Orientation Tuning In Schizophrenia, Steven M. Silverstein, Docia L. Demmin, James A. Bednar

MODVIS Workshop

Computational modeling is being increasingly used to understand schizophrenia, but, to date, it has not been used to account for the common perceptual disturbances in the disorder. We manipulated schizophrenia-relevant parameters in the GCAL (gain control, adaptation, laterally connected) model (Stevens et al., 2013), run using the Topographica simulator (Bednar, 2012), to model low-level visual processing changes in the disorder. Our models incorporated: separate sheets for retinal, LGN, and V1 activity; gain control in the LGN; homeostatic adaptation in V1 based on a weighted sum of all inputs and limited by a logistic (sigmoid) nonlinearity; lateral excitation and inhibition in ...


Sparking A Dolphin's Curiosity: Individual Differences In Dolphins' Reactions To Surprising And Expectation-Violating Events, Malin Katarina Lilley 2017 The University of Southern Mississippi

Sparking A Dolphin's Curiosity: Individual Differences In Dolphins' Reactions To Surprising And Expectation-Violating Events, Malin Katarina Lilley

Master's Theses

Non-scientific literature consistently describes dolphins as “curious animals,” but there has been little systematic research on curiosity in dolphins. Curiosity in humans and certain non-human animal species, including birds and non-human primates, has been studied by examining individual differences in exploration and reactions to novel stimuli. Additionally, research has explored how human infants and non-human animals react when an event violates their expectations. The present study explored dolphins’ reactions to spontaneously surprising and expectation-violating stimuli. The reactions of dolphins, 15 bottlenose (Tursiops truncatus) and 6 rough-toothed (Steno bredanensis), at Gulf World Marine Park were analyzed in response to events that ...


A Mixed-Methods Study: Self-Efficacy And Barriers To Participation In Workplace Wellness Programs, Massiel Perez-Calhoon 2017 Brandman University

A Mixed-Methods Study: Self-Efficacy And Barriers To Participation In Workplace Wellness Programs, Massiel Perez-Calhoon

Dissertations

America needs a healthy workforce to sustain the country. The scourge of obesity continues to plague Americans despite government initiatives such as the Affordable Care Act and wellness programs in the workplace to combat this epidemic. However, despite initiatives to make America healthy, barriers continued to impede the nation’s health. Lack of awareness and sensitivity to what motivates individual participants versus group participants built formidable barriers to accessing all workplace employees equitably. The purpose of this study was twofold. First, the intent of this study was to explore the relationship between self-efficacy and the impact on participation and engagement ...


Seeing Things: How Companies Use Psychological Tricks To Influence Your Spending, Max Kantor 2017 Georgia State University

Seeing Things: How Companies Use Psychological Tricks To Influence Your Spending, Max Kantor

Georgia State Undergraduate Research Conference

No abstract provided.


Is Perceptual Learning Caused By Attentional Spotlighting Or Representational Change?, Alexandria Nichole Williams, Gerardo Ernesto Valdez 2017 Georgia State University Department of Psychology

Is Perceptual Learning Caused By Attentional Spotlighting Or Representational Change?, Alexandria Nichole Williams, Gerardo Ernesto Valdez

Georgia State Undergraduate Research Conference

No abstract provided.


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