Spatial Vision: Models and image statistics

Poster Session: Tuesday, May 23, 2023, 8:30 am – 12:30 pm, Pavilion

Abstract# 

Poster Title

First Author

53.412

Covariance between similarly tuned populations in human visual cortex is model-dependent

Wilson, Josh

53.413

Evaluating Pyramid-Based Image Statistics Using Contrastive Learning

DuTell, Vasha

53.414

Statistical characterization of medical images of bone

Ajayi, Elena

53.415

When do contrast sensitivity impairments (or enhancements) depend on spatial frequency? Two ways to avoid spurious interactions.

Bi, Howard

53.416

A image gradient approach to perceptual metric space

Johnston, Alan

53.417

Elucidating the relationship between spatial summation and center-surround antagonism

Wu, Christopher

53.418

Cortically motivated recurrence enables visual task extrapolation

Veerabadran, Vijay

53.419

Is edge sensitivity more than contrast sensitivity?

Schmittwilken, Lynn

53.420

Non-parametric Hierarchical Bayesian Modeling of the Contrast Sensitivity Function

Zhao, Yukai

53.421

Foveated metamers of the early visual system

Broderick, William F.

53.422

An image-computable spatial receptive field model of the midget retinal ganglion cell mosaic

Cottaris, Nicolas

53.423

An Image-Computable Model of Orientation-Tuned Normalization

Bloem, Ilona

53.424

How does perceptual discrimination relate to neuronal receptive fields?

Zhou, Jingyang

53.425

Plenoptic: A platform for synthesizing model-optimized visual stimuli

Duong, Lyndon