Spatial Vision: Models

Poster Session: Sunday, May 19, 2024, 2:45 – 6:45 pm, Banyan Breezeway

Poster Title

First Author

A highly replicable model of achromatic contrast sensitivity based on individual differences in optics and spatial channels: robust consistency in factor structure across >6 very different datasets

Peterzell, David Henry

A novel approach for population-receptive field mapping using high-performance computing

Mittal, Siddharth

The influence of attentional load on population receptive field properties

Sheikh Abdirashid, Sumiya

Hierarchical Gaussian Process Model for Human Retinotopic Mapping

Waz, Sebastian

Population receptive field models capture event-related MEG responses

Eickhoff, Kathi

Limits on Human Contrast Sensitivity Imposed by the Initial Visual Encoding

Hong, Fangfang

Spatial Frequency Tuning in Early Visual Cortex is Not Scale Invariant

Klimova, Michaela

Behavioral and neural signatures of efficient sensory encoding in the tilt illusion

Zhang, Ling-Qi

An internal representation of contrast based on magnitude estimation compatible with discrimination

Rodríguez Arribas, Cristina

A modular image-computable psychophysical spatial vision model

Reichert, Jannik

Diffeomorphic Registration Enhances Retinotopic Mapping in 3T

Jalili Mallak, Negar

Comparing pRF Mapping Estimates for Words and Checker Patterns

Linhardt, David

Effects of NORDIC denoising on population receptive field maps

Windischberger, Christian

Analytic model of response statistics in noisy neural populations with divisive normalization

Herrera-Esposito, Daniel

A Robust Co-variation of the Stimulus-specific Bias and Variability across Different Viewing Conditions and Observers, and Its Implication on the Bayesian Account of Orientation Estimation

LEE, SANG HUN