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Social and Behavioral Sciences Commons™
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- Symmetry (2)
- 3D scene understanding (1)
- Achromatic color (1)
- Adaptation (1)
- Aftereffects (1)
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- Awareness (1)
- Bayesian estimation (1)
- Bi-stable perception (1)
- Channel capacity (1)
- Chi-squared (1)
- Clustering (1)
- Conservations (1)
- Contrast (1)
- Contrast gain control (1)
- Cortical ventral stream (1)
- Darkness (1)
- Decoding strategies (1)
- Depth cues (1)
- Dynamic clamp (1)
- Edge classification (1)
- Edge depth (1)
- Ensemble perception (1)
- Eye Movements (1)
- Eye movements (1)
- Face perception (1)
- General recognition theory (1)
- Gestalt (1)
- Hazard functions (1)
- Human-model comparison (1)
- Intracellular recording (1)
Articles 1 - 18 of 18
Full-Text Articles in Social and Behavioral Sciences
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.