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Social and Behavioral Sciences Commons™
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Articles 31 - 60 of 100
Full-Text Articles in Social and Behavioral Sciences
The Fluid Representations Of Networks Estimating Liquid Viscosity, Jan Jaap R. Van Assen, Shin'ya Nishida, Roland W. Fleming
The Fluid Representations Of Networks Estimating Liquid Viscosity, Jan Jaap R. Van Assen, Shin'ya Nishida, Roland W. Fleming
MODVIS Workshop
No abstract provided.
Selecting Maximally-Predictive Deep Features To Explain What Drives Fixations In Free-Viewing, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge
Selecting Maximally-Predictive Deep Features To Explain What Drives Fixations In Free-Viewing, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge
MODVIS Workshop
No abstract provided.
Modelling Human Perception Of High Gloss Materials Using Neural Networks, Konrad E. Prokott, Hideki Tamura, Roland W. Fleming
Modelling Human Perception Of High Gloss Materials Using Neural Networks, Konrad E. Prokott, Hideki Tamura, Roland W. Fleming
MODVIS Workshop
No abstract provided.
Differentiating Changes In Population Encoding Models With Psychophysics And Neuroimaging, Jason Hays, Fabian Soto Phd
Differentiating Changes In Population Encoding Models With Psychophysics And Neuroimaging, Jason Hays, Fabian Soto Phd
MODVIS Workshop
It is now common among visual scientists to make inferences about neural population coding of stimuli from indirect measures such as those provided by neuroimaging and psychophysics. The success of such studies depends strongly on simulation work using standard population encoding models extended with decoders (in psychophysics) and measurement models (in neuroimaging). However, not all studies are accompanied by simulation work, and those that are tend to vary widely in their assumptions about encoding, decoding, and measurement. To solve these issues, we designed a Python package (PEMGUIN) to assist computational modelling by providing simple ways to manage encoders' tuning functions, …
Explaining The Lightness Of Real Illuminated Surfaces Viewed Under Gelb Illumination With A Neurocomputational Model, Michael E. Rudd
Explaining The Lightness Of Real Illuminated Surfaces Viewed Under Gelb Illumination With A Neurocomputational Model, Michael E. Rudd
MODVIS Workshop
No abstract provided.
Recovering Depth From Stereo Without Using Any Oculomotor Information, Tadamasa Sawada
Recovering Depth From Stereo Without Using Any Oculomotor Information, Tadamasa Sawada
MODVIS Workshop
The human visual system uses binocular disparity to perceive depth within 3D scenes. It is commonly assumed that the visual system needs oculomotor information about the relative orientation of the two eyes to perceive depth on the basis of binocular disparity. The necessary oculomotor information can be obtained from an efference copy of the oculomotor signals, or from a 2D distribution of the vertical disparity, specifically, from the vertical component of binocular disparity. It is known that oculomotor information from the efference copy and from the vertical disparity distribution can affect the perception of depth based on binocular disparity. But, …
An Observer Model Version Of General Recognition Theory, Fabian Soto Phd
An Observer Model Version Of General Recognition Theory, Fabian Soto Phd
MODVIS Workshop
No abstract provided.
The Challenge For Vision Of Fluctuating Real-World Illumination, David H. Foster
The Challenge For Vision Of Fluctuating Real-World Illumination, David H. Foster
MODVIS Workshop
No abstract provided.
Linking Signal Detection Theory And Encoding Models To Reveal Independent Neural Representations From Neuroimaging Data, Fabian A. Soto
Linking Signal Detection Theory And Encoding Models To Reveal Independent Neural Representations From Neuroimaging Data, Fabian A. Soto
MODVIS Workshop
No abstract provided.
Texture Statistics Are Sufficient For Ensemble Perception, Sasen S. Cain, Matthew S. Cain
Texture Statistics Are Sufficient For Ensemble Perception, Sasen S. Cain, Matthew S. Cain
MODVIS Workshop
No abstract provided.
The Channel Capacity Of Visual Awareness, Joe Lappin
The Channel Capacity Of Visual Awareness, Joe Lappin
MODVIS Workshop
No abstract provided.
Tutorial On A Theory-Driven Methodology For Identification Of Vital Properties Of Elementary Cognitive Processes: Systems Factorial Technology, James Townsend, Yanjun Liu, Brett Jefferson
Tutorial On A Theory-Driven Methodology For Identification Of Vital Properties Of Elementary Cognitive Processes: Systems Factorial Technology, James Townsend, Yanjun Liu, Brett Jefferson
MODVIS Workshop
No abstract provided.
A Contrast-Based Model Of Achromatic Transparency, Marianne Maertens, Minjung Kim, Guillermo Aguilar
A Contrast-Based Model Of Achromatic Transparency, Marianne Maertens, Minjung Kim, Guillermo Aguilar
MODVIS Workshop
No abstract provided.
Michelson Contrast For Transparency Perception In Scenes With Multiple Luminances, Minjung Kim, Guillermo Aguilar, Marianne Maertens
Michelson Contrast For Transparency Perception In Scenes With Multiple Luminances, Minjung Kim, Guillermo Aguilar, Marianne Maertens
MODVIS Workshop
No abstract provided.
Modeling Neural Computations In Lgn And Visual Cortex That Underlie Contextual Modulation Of Lightness And Darkness Magnitudes In Simple And Complex Images, Michael E. Rudd
MODVIS Workshop
No abstract provided.
Measuring Symmetry In Real-World Scenes Using Derivatives Of The Medial Axis Radius Function, Morteza Rezanejad, John D. Wilder, Kaleem Siddiqi, Sven Dickinson, Allan Jepson, Dirk B. Walther
Measuring Symmetry In Real-World Scenes Using Derivatives Of The Medial Axis Radius Function, Morteza Rezanejad, John D. Wilder, Kaleem Siddiqi, Sven Dickinson, Allan Jepson, Dirk B. Walther
MODVIS Workshop
Symmetry has been shown to be an important principle that guides the grouping of scene information. Previously, we have described a method for measuring the local, ribbon symmetry content of line-drawings of real-world scenes (Rezanejad, et al., MODVIS 2017), and we demonstrated that this information has important behavioral consequences (Wilder, et al., MODIVS 2017). Here, we describe a continuous, local version of the symmetry measure, that allows for both ribbon and taper symmetry to be captured. Our original method looked at the difference in the radius between successive maximal discs along a symmetric axis. The number of radii differences in …
The Role Of Symmetry In Computational Models Of 3d Vision, Zygmunt Pizlo
The Role Of Symmetry In Computational Models Of 3d Vision, Zygmunt Pizlo
MODVIS Workshop
No abstract provided.
Use Of Local Image Information In Depth Edge Classification By Humans And Neural Networks, Krista A. Ehinger, Wendy J. Adams, Erich W. Graf, James H. Elder
Use Of Local Image Information In Depth Edge Classification By Humans And Neural Networks, Krista A. Ehinger, Wendy J. Adams, Erich W. Graf, James H. Elder
MODVIS Workshop
Humans can use local cues to distinguish image edges caused by a depth change from other types of edges (Vilankar et al., 2014). But which local cues? Here we use the SYNS database (Adams et al., 2016) to automatically label edges in images of natural scenes as depth or non-depth. We use this ground truth to identify the cues used by human observers and convolutional neural networks (CNNs) for edge classification. Eight observers viewed square image patches, each centered on an image edge, ranging in width from 0.6 to 2.4 degrees (8 to 32 pixels). Human judgments (depth/non-depth) were compared …
A Feature-Based Model Of Visually Perceiving Deformable Objects, Vivian C. Paulun, Filipp Schmidt, Roland W. Fleming
A Feature-Based Model Of Visually Perceiving Deformable Objects, Vivian C. Paulun, Filipp Schmidt, Roland W. Fleming
MODVIS Workshop
No abstract provided.
Global Estimation Of Signed 3d Surface Tilt From Natural Images, Seha Kim, Johannes Burge
Global Estimation Of Signed 3d Surface Tilt From Natural Images, Seha Kim, Johannes Burge
MODVIS Workshop
The ability of human visual systems to estimate 3D surface orientation from 2D retinal images is critical. But the computation to calculate 3D orientation in real-world scenes is not fully understood. A Bayes optimal model grounded in natural statistics has explained 3D surface tilt estimation of human observers in natural scenes (Kim and Burge, 2018). However, the model is limited because it estimates only unsigned tilt (tilt modulo 180deg). We extend the model to predict signed tilt estimates and compared with human signed estimates. The model takes image pixels as input and produces optimal estimates of tilt as output, using …
Perspective Geometry Explains Perceived 3d Object Poses In Real Scenes And Pictures, Erin M. Koch, Famya Baig, Qasim Zaidi
Perspective Geometry Explains Perceived 3d Object Poses In Real Scenes And Pictures, Erin M. Koch, Famya Baig, Qasim Zaidi
MODVIS Workshop
No abstract provided.
Inferring The Neural Representation Of Faces From Adaptation Aftereffects, Kara J. Emery, Michael A. Webster Ph.D.
Inferring The Neural Representation Of Faces From Adaptation Aftereffects, Kara J. Emery, Michael A. Webster Ph.D.
MODVIS Workshop
The aftereffects of adaptation to faces have been studied widely, in part to characterize the coding schemes for representing different facial attributes. Often these aftereffects have been interpreted in terms of two alternative models of face processing: 1) a norm-based or opponent code, in which the facial dimension is represented by relative activity in a pair of broadly-tuned mechanisms with opposing sensitivities; or 2) an exemplar code, in which the dimension is sampled by multiple channels narrowly-tuned to different levels of the stimulus. Evidence for or against these alternatives is based on the different patterns of aftereffects they predict (e.g. …
Effect Of Noise On Mutually Inhibiting Pyramidal Cells In Visual Cortex: Foundation Of Stochasticity In Bi-Stable Perception, Naoki Kogo, Felix Kern, Thomas Nowotny, Raymond Van Ee, Richard Van Wezel, Takeshi Aihara
Effect Of Noise On Mutually Inhibiting Pyramidal Cells In Visual Cortex: Foundation Of Stochasticity In Bi-Stable Perception, Naoki Kogo, Felix Kern, Thomas Nowotny, Raymond Van Ee, Richard Van Wezel, Takeshi Aihara
MODVIS Workshop
Bi-stable perception has been an important tool to investigate how visual input is interpreted and how it reaches consciousness. To explain the mechanisms of this phenomenon, it has been assumed that a mutual inhibition circuit plays a key role. It is possible that this circuit functions to resolve ambiguity of input image by quickly shifting the balance of competing signals in response to conflicting features. Recently we established an in vitro neural recording system combined with computerized connections mediated by model neurons and synapses (“dynamic clamp” system). With this system, mutual inhibition circuit between two pyramidal cells from primary visual …
Divisive Inhibition As A Solution To The Correspondence Problem In Perceptual Grouping, Chien-Chung Chen, Yi-Shiuan Lin, Li Lin
Divisive Inhibition As A Solution To The Correspondence Problem In Perceptual Grouping, Chien-Chung Chen, Yi-Shiuan Lin, Li Lin
MODVIS Workshop
No abstract provided.
Predicting The Fixation Density Over Time, Heiko H. Schütt, Lars O. M. Rothkegel, Hans A. Trukenbrod, Ralf Engbert, Felix A. Wichmann
Predicting The Fixation Density Over Time, Heiko H. Schütt, Lars O. M. Rothkegel, Hans A. Trukenbrod, Ralf Engbert, Felix A. Wichmann
MODVIS Workshop
No abstract provided.
Discovery Of Activities Via Statistical Clustering Of Fixation Patterns, Jeffrey B. Mulligan
Discovery Of Activities Via Statistical Clustering Of Fixation Patterns, Jeffrey B. Mulligan
MODVIS Workshop
No abstract provided.
Determining Visual Shape Features For Novel Object Classes, Yaniv Morgenstern, Filipp Schmidt, Roland W. Fleming
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 different …
Shape Features Underlying The Perception Of Liquids, Jan Jaap R. Van Assen, Pascal Barla, Roland W. Fleming
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
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
Neural Computation Of Statistical Image Properties In Peripheral Vision, Christoph Zetzsche, Ruth Rosenholtz, Noshaba Cheema, Konrad Gadzicki, Lex Fridman
MODVIS Workshop
No abstract provided.